{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"Databricks (DBRX) analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/labs/databricks","json_url":"https://onlylabs.fyi/analysis/databricks/evidence.json","generated_at":"2026-06-11T18:04:24.260Z","org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/databricks"},"analysis":null,"workflow":{"version":"onlylabs-deepagents-analysis-v3","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":140,"web":0,"evidence":88,"signal_desks":{"hiring":48,"forks":0,"releases":6,"talking":6,"repos":0},"data_radar_lanes":null,"data_radar_matches":null,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"Transforming solar and wind maintenance reports with Genie and AI agents","date":"2026-06-11T01:42:51.077+00:00","date_source":null,"source_url":"https://www.databricks.com/blog/transforming-solar-and-wind-maintenance-reports-genie-and-ai-agents","signal_url":null,"signal_json_url":null,"text":"Transforming solar and wind maintenance reports with Genie and AI agents | Databricks Blog\n\nSummary\n\n- Plenitude built an agent-based system on Databricks Genie that converts unstructured PDFs for solar and wind maintenance into a unified, queryable data model.\n- The solution uses Genie, coupled with Unity Catalog semantic metadata and AI Functions, to let users ask natural-language questions and create visualizations across plants and time.\n- Early outcomes include faster multi-plant analysis, governed self-service access with row-level security and a foundation for predictive maintenance on critical assets like inverters.\n\n## From maintenance PDFs to actionable insights with AI agents\n\nOperations and maintenance suppliers for solar and wind plants typically deliver reports as PDFs, with key information spread across free text, tables and images. This format is accessible but not scalable: teams must manually read each document to understand faults, trends or recurring issues, making cross‑plant comparisons slow and inconsistent as the number of assets grows.\n\nPlenitude and Databricks built an agent‑based system that converts these PDF maintenance reports into structured data. The core idea is simple: transform documents into data, then use an AI agent to derive actionable insights from that data. Users can now ask questions in natural language, analyze trends over time, compare plants and export structured outputs, instead of navigating reports one by one.\n\n## Agent‑based architecture for PDF to data analytics\n\nThe solution starts with event-driven ingestion of plant-level PDF reports. Each new report triggers a Databricks Job that parses the document and applies LLM‑based extraction. Extracted elements are serialized as JSON and stored in Delta Lake, which maintains full version history for audit and replay.\n\nFigure 1: Automated Document Intelligence Architecture for Multi-Plant Analysis\n\nTo address the fundamental problem that maintenance information lives almost entirely in unstructured PDFs, Plenitude uses Databricks Document Intelligence AI Functions — specifically ai_parse_document, to extract multiple types of elements from each page, including text blo"},{"ref":"P2","kind":"page","title":"databricks/databricks-sdk-go v0.143.0","date":"2026-06-11T07:04:03.723891+00:00","date_source":null,"source_url":"https://github.com/databricks/databricks-sdk-go/releases/tag/v0.143.0","signal_url":null,"signal_json_url":null,"text":"# v0.143.0\n\nRepository: databricks/databricks-sdk-go\n\nTag: v0.143.0\n\nPublished: 2026-06-10T09:26:39Z\n\nPrerelease: no\n\nRelease notes:\n### API Changes\n* Add `AcceleratedSync` field for [database.SyncedTableSpec](https://pkg.go.dev/github.com/databricks/databricks-sdk-go/service/database#SyncedTableSpec).\n* Add `AcceleratedSync` field for [postgres.SyncedTableSyncedTableSpec](https://pkg.go.dev/github.com/databricks/databricks-sdk-go/service/postgres#SyncedTableSyncedTableSpec)."},{"ref":"P3","kind":"page","title":"databricks/databricks-agent-skills v0.2.3","date":"2026-06-11T07:04:03.650404+00:00","date_source":null,"source_url":"https://github.com/databricks/databricks-agent-skills/releases/tag/v0.2.3","signal_url":null,"signal_json_url":null,"text":"# v0.2.3\n\nRepository: databricks/databricks-agent-skills\n\nTag: v0.2.3\n\nPublished: 2026-06-10T13:22:47Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Update agent skills to a07c1dc035640bb6a42d125afe5a3b87902cf047 by @databricks-ci-ghec-2[bot] in https://github.com/databricks/databricks-agent-skills/pull/129\n* Update agent skills to 55d22d7e7879e6be815cfe8e3e4cf7130f822c94 by @databricks-ci-ghec-1[bot] in https://github.com/databricks/databricks-agent-skills/pull/134\n* Teach agent correct Unity Catalog identifier handling by @pkosiec in https://github.com/databricks/databricks-agent-skills/pull/131\n* Replace tRPC guidance with onPluginsReady custom endpoints by @MarioCadenas in https://github.com/databricks/databricks-agent-skills/pull/130\n* Bump plugin manifests to v0.2.3 by @pkosiec in https://github.com/databricks/databricks-agent-skills/pull/136\n\n## New Contributors\n* @databricks-ci-ghec-1[bot] made their first contribution in https://github.com/databricks/databricks-agent-skills/pull/134\n\n**Full Changelog**: https://github.com/databricks/databricks-agent-skills/compare/v0.2.2...v0.2.3"},{"ref":"P4","kind":"page","title":"databricks/databricks-sql-python v4.3.0rc1","date":"2026-06-11T07:04:03.517279+00:00","date_source":null,"source_url":"https://github.com/databricks/databricks-sql-python/releases/tag/v4.3.0rc1","signal_url":null,"signal_json_url":null,"text":"# v4.3.0rc1\n\nRepository: databricks/databricks-sql-python\n\nTag: v4.3.0rc1\n\nPublished: 2026-06-11T05:45:25Z\n\nPrerelease: yes\n\nRelease notes:\n- Add optional Rust kernel backend for `use_kernel=True`, installable via the new `databricks-sql-connector[kernel]` extra (requires Python >= 3.10). Routes connections through the native `databricks-sql-kernel` client, with parity work across cursor-state tracking, metadata, logging (kernel logs surface through Python `logging`), staging fail-loud behavior, error context, and sync cancel (databricks/databricks-sql-python#824, #825, #830, #838, #839 by @vikrantpuppala)\n- Revert the thrift 0.23.0 bump that broke installation on DBR LTS (ES-1960554) (databricks/databricks-sql-python#840 by @vikrantpuppala)"},{"ref":"P5","kind":"page","title":"databricks/dbt-databricks v1.12.1","date":"2026-06-11T07:04:03.513678+00:00","date_source":null,"source_url":"https://github.com/databricks/dbt-databricks/releases/tag/v1.12.1","signal_url":null,"signal_json_url":null,"text":"# 1.12.1\n\nRepository: databricks/dbt-databricks\n\nTag: v1.12.1\n\nPublished: 2026-06-10T13:49:34Z\n\nPrerelease: no\n\nRelease notes:\n## dbt-databricks 1.12.1 (June 10, 2026)\n\n### Features\n\n- Expose `job_id`, `job_run_id`, and `task_run_id` from the Databricks Jobs `dbt_task` runtime in `adapter_response`, enabling correlation between dbt runs and Databricks workflow executions via `run_results.json` by @sd-db in [#1451](https://github.com/databricks/dbt-databricks/pull/1451), closes [#722](https://github.com/databricks/dbt-databricks/issues/722)\n- Add support for SPOG (Single Point of Gateway) hosts: account-level vanity URLs with `?o=<workspace-id>` in `http_path` route correctly for both data-plane (SQL) and control-plane (REST/Jobs/Workspace API) traffic. Requires `databricks-sql-connector >= 4.2.6` and `databricks-sdk >= 0.76.0`. by @sd-db in [#1479](https://github.com/databricks/dbt-databricks/pull/1479)\n\n### Fixes\n\n- Ignore the server-set `delta.parquet.compression.codec` tblproperty when diffing relation configs, so streaming tables and materialized views are not flagged as changed after the backend started stamping it automatically by @sd-db in [#1489](https://github.com/databricks/dbt-databricks/pull/1489)\n- Fix missing f-string prefix in `JobRunsApi.submit` debug log by @Dev-X25874 in [#1471](https://github.com/databricks/dbt-databricks/pull/1471)\n- Fix capability-branching macros falling through to their legacy path at parse/compile time on SQL warehouses. The parse-time stub of `has_dbr_capability` now returns `True` on warehouse profiles for capabilities flagged `sql_warehouse_supported`, so macros select the modern branch during compilation instead of the legacy fallback. by @sd-db in [#1449](https://github.com/databricks/dbt-databricks/pull/1449), closes [#1331](https://github.com/databricks/dbt-databricks/issues/1331)\n- Fix snapshots not applying `databricks_tags` on columns by @themattmorris in [#1442](https://github.com/databricks/dbt-databricks/pull/1442), closes [#1441](https://github.com/databricks/dbt-databricks/issues/1441)\n- Skip `DESCRIBE TABLE EXTENDED ... AS JSON` for foreign/federated tables in `get_columns_in_relation`, avoiding repeated f"},{"ref":"P6","kind":"page","title":"Announcing the Databricks storage ecosystem: Governing the enterprise data estate, wherever it lives","date":"2026-06-11T07:03:57.60523+00:00","date_source":null,"source_url":"https://www.databricks.com/blog/announcing-databricks-storage-ecosystem-governing-enterprise-data-estate-wherever-it-lives","signal_url":null,"signal_json_url":null,"text":"Announcing the Databricks storage ecosystem: Governing the enterprise data estate, wherever it lives | Databricks Blog Skip to main content \n\nSummary \n\nThe challenge: Organizations need to keep vast amounts of data on-premises, in private clouds, and at the edge environments to meet strict data sovereignty and regulatory requirements, maintain low latency at the edge, or handle immense data gravity—all while still bringing modern cloud AI and governance to those environments.\n\nWhat it is: The Databricks Storage Ecosystem natively connects hybrid and on-premises storage platforms to Databricks using the OpenSharing protocol. This allows organizations to establish centralized data governance and scale GenAI across their entire hybrid infrastructure.\n\nThe outcome: Using a zero-copy architecture, enterprises can run Databricks Serverless Compute, Genie, and LLMs directly on their on-premises datasets without copying a single file. This instantly turns isolated data into active, AI-ready assets for advanced use cases, such as training models on classified engineering data or analyzing network telemetry in place.\n\nThe Data That Can&#x27;t Move\nFor years, the enterprise data strategy was simple: move everything to the cloud. Migrate the data lakes and the warehouses to the cloud, and then governance follows. It was a clean story — until it wasn&#x27;t.\nToday, some of the world&#x27;s most sophisticated enterprises are telling us clearly: they cannot — and will not — move all of their data to the cloud. Leading semiconductor manufacturers are training models on engineering-classified datasets that must never leave their premises. Global trading firms sit on massive volumes of historical tick data where the economics of cloud egress make migration impossible. Tier-1 banks have adopted \"Hybrid Forever\" strategies, modernizing on-premises storage while maintaining strict data sovereignty. Major pharmaceutical companies run millions of daily drug experiments against petabyte-scale on-premises data estates subject to stringent regulatory controls.\nThese aren&#x27;t edge cases. They represent a structural shift in how enterprises think about data: from \"Migrate Everything\" to"},{"ref":"P7","kind":"page","title":"AWS and Databricks at Data + AI Summit 2026: Accelerating real-world AI innovation","date":"2026-06-11T07:03:57.510801+00:00","date_source":null,"source_url":"https://www.databricks.com/blog/aws-and-databricks-data-ai-summit-2026-accelerating-real-world-ai-innovation","signal_url":null,"signal_json_url":null,"text":"AWS and Databricks at Data + AI Summit 2026: Accelerating real-world AI innovation | Databricks Blog Skip to main content \n\nSummary \n\nSee how AWS and Databricks are driving real-world AI innovation with customers like Mastercard experimentation to production-scale AI.\n\nExplore breakout sessions, live recordings, and industry forums covering agentic AI, governance, open data architectures, and multi-engine interoperability.\n\nExperience hands-on demos at AWS Booth #100, including AI agents with Amazon Bedrock, Amazon Bedrock AgentCore, and Kiro, plus opportunities for 1:1 expert discussions and technical deep dives.\n\nAWS and Databricks continue to simplify complex data challenges, enabling organizations to move faster and deliver meaningful business outcomes with AI. At the Data + AI Summit, this partnership comes to life—showcasing how enterprises are turning data into intelligence at scale.\nReturning in 2026 as a Legend Sponsor, AWS brings deeper integrations, expanded customer stories, and new innovations across AI, data platforms, and governance. With more than 30,000 attendees expected in San Francisco and virtually, the summit highlights the rapid evolution of the data and AI landscape—and how AWS and Databricks are helping organizations stay ahead.\nAWS and Databricks Showcase Next-Gen AI Innovation and Deeper Collaboration at Data + AI Summit 2026\nAWS’ presence at DAIS 2026 with an expanded lineup of sessions, demos, and experiences.\nAttendees can expect:\nBreakout sessions and panels featuring AWS leaders and joint customers\nDeep dives into generative AI, governance, and scalable data architectures\nIndustry forums focused on media, financial services, public sector, and more\nHands-on demos and expert conversations at AWS Booth #100\n\nAWS and Databricks highlighted how organizations like Mastercard are using the Databricks Platform on AWS to operationalize AI and unlock new value from their data. Key themes included generative AI adoption, unified governance, and open data architectures. Companies such as Talkdesk, nCino, Addepar, and Workday are also leveraging Databricks on AWS to scale data-driven innovation.\nInside the Agentic Stack - Better Together with"},{"ref":"P8","kind":"page","title":"Announcing the Public Preview of Custom URLs","date":"2026-06-11T07:03:57.496184+00:00","date_source":null,"source_url":"https://www.databricks.com/blog/announcing-public-preview-custom-urls","signal_url":null,"signal_json_url":null,"text":"Announcing the Public Preview of Custom URLs | Databricks Blog Skip to main content \n\nSummary \n\nCustom URL gives your Databricks account a single, branded domain like mycompany.databricks.com that replaces every per-workspace URL across the account.\n\nPreviously, each workspace had its own URL and login session. This worked for accounts with a few workspaces but became unmanageable as customers scaled to dozens.\n\nUsers now log in once and seamlessly move across every workspace in the account that is accessible to them. This unlocks account-wide Genie for business users, Unity Catalog lineage that spans all workspaces, and simpler Disaster Recovery.\n\nOne unified Databricks experience\nYour Databricks account can now live on a single branded domain (e.g. mycompany.databricks.com ) that enables users who log in once to stay signed in across every workspace they use.\nPreviously, every Databricks workspace had its own obscure URL (e.g. dbc-a3abed8a-27dfe.cloud.databricks.com ). This was impossible to memorize, awkward to share, and hard to brand without additional effort. As customers scaled to dozens it turned into a daily user experience tax because it forces a login every time users switched workspaces, web bookmarks started to stack up, and account-wide features like Genie had no obvious home.\nCustom URL makes the account the natural entry point for Databricks. One branded domain now serves every workspace in the account and users who log in once stay signed in as they move across them. Under the hood, as users switch workspaces, their access is automatically verified and new sessions are created seamlessly. The same authorization boundaries are enforced without requiring repeated logins. Existing per-workspace URLs keep working, so bookmarks and programmatic tools are unaffected.\nKey benefits of Custom URLs\n1. Easier navigation across workspaces \nDaily users moving across workspaces are no longer interrupted. A typical workflow in Databricks might span multiple workspaces (e.g., opening a notebook in dev, running a job in staging, and querying a table in prod). With a Custom URL, your login session follows you across your account, letting you seamlessly move betwe"},{"ref":"P9","kind":"page","title":"AI Serving Platform That Adapts to Your Model","date":"2026-06-11T07:03:57.367338+00:00","date_source":null,"source_url":"https://www.databricks.com/blog/ai-serving-platform-adapts-your-model","signal_url":null,"signal_json_url":null,"text":"AI Serving Platform That Adapts to Your Model | Databricks Blog Skip to main content \n\nSummary \n\nWhat it is: A fully managed platform that runs any model in production, from a 2 MB scikit-learn classifier on one CPU core to a fine-tuned 70B LLM on eight GPUs, with no knobs.\n\nThe challenge it solves: Custom models have wildly different resource profiles and traffic patterns, so no single static config fits them all. The platform adapts instead, holding latency low while keeping every node efficient.\n\nThe results: 300K+ QPS at <10ms p99 latency overhead and up to 90% lower infrastructure cost for customers migrating off self managed stacks.\n\nChallenges of Running Custom Model Inferences\nWhen you deploy a machine learning model to production, you are committing to a contract : every request completes within a few milliseconds regardless of traffic spikes, and your bill stays low when traffic is low. Model serving is the infrastructure that keeps that contract, and for most of the industry&#x27;s history, keeping it has been as hard as building the model itself.\nCustom models are fundamentally different from foundation models. A platform hosting a foundation model (Llama, Mistral, a CLIP variant) knows exactly what it is running: the architecture, the memory footprint, the inference characteristics, and can optimize deeply for that one model. Custom model platforms are the opposite. The same platform has to serve a 2 MB scikit-learn classifier on a single CPU core and a fine-tuned 70B LLM on eight GPUs; a low-latency ranker that cannot tolerate queuing and an embedding model that thrives on aggressive batching. A platform that can serve every kind of model and no two with the same resource profile, traffic shape, or latency budget.\nTraditional platforms offload that complexity back to the customer: replica count, per-replica concurrency, autoscaling thresholds. This is still DIY, just at a higher abstraction. And it never stops: every new model and traffic shift means re-profiling and re-tuning, so your best engineers fire-fight production before and after shipping, and serving becomes the anchor that slows every launch. The result is the cost that matters most — mo"},{"ref":"P10","kind":"page","title":"Scaling AI Through Data Fluency","date":"2026-06-11T07:03:57.226903+00:00","date_source":null,"source_url":"https://www.databricks.com/blog/scaling-ai-through-data-fluency","signal_url":null,"signal_json_url":null,"text":"Scaling AI Through Data Fluency | Databricks Blog Skip to main content \n\nSummary \n\nAer Lingus redirected a significant portion of its IT spend to build a solid data foundation, prioritizing governance and quality over “shiny” competitor trends.\n\nData literacy is treated as a core business skill with the airline investing in a custom curriculum and top-down encouragement to empower citizen developers.\n\nReal-time insights are transforming high-stakes operations, such as optimizing flight loads and pricing and operations decision making.\n\nAviation is one of the most data-intensive industries on the planet. Every flight generates a torrent of information: fuel consumption, engine telemetry, passenger preferences, real-time weather patterns and more. For Aer Lingus, Ireland’s flagship carrier, this complexity is compounded by a storied history. Many airlines still operate on systems built decades ago, where data is trapped in departmental silos. In this environment, making simple decisions can require manual data extraction and weeks of analysis.\nDave O’Donovan, Chief Digital, Data & Transformation Officer, Aer Lingus, is leading this charge. Under his leadership, Aer Lingus has undergone a radical shift, redirecting a significant portion of its capital spend away from traditional IT maintenance and toward a unified platform powered by Databricks.\nI sat down with Dave to discuss the mechanics of this transformation. We explored how Aer Lingus is moving past legacy to a fully digitally led customer experience, and why he believes the secret to AI success is data literacy.\nShifting infrastructure spend to the data foundation\nAly McGue: Aer Lingus is 90 years old. That is an incredible milestone, but it also comes with the challenge of legacy systems and processes. How are you framing the company&#x27;s mission today in the context of a rapidly evolving digital landscape?\nDave O’Donovan: It’s a fascinating time for us. Aer Lingus is Ireland’s window to the world. We have a massive short-haul network across Europe, and we’re actually the second-largest European carrier on the North Atlantic by US destinations served. But being 90 years old means we have systems and minds"},{"ref":"P11","kind":"page","title":"Sr. Solutions Architect - Strat Media","date":"2026-06-11T04:11:52.719+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8434465002","signal_url":null,"signal_json_url":null,"text":"Current job openings at Databricks | Databricks Skip to main content \n\nCurrent job openings at Databricks"},{"ref":"P12","kind":"page","title":"Global GTM Strategy and Scale Architect","date":"2026-06-11T04:11:49.066+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8463173002","signal_url":null,"signal_json_url":null,"text":"Current job openings at Databricks | Databricks\n\n# Current job openings at Databricks"},{"ref":"P13","kind":"page","title":"Sr. Manager, Field Engineering","date":"2026-06-11T04:11:07.085893+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8572876002","signal_url":null,"signal_json_url":null,"text":"Sr. Manager, Field Engineering - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nSr. Manager, Field Engineering\n\nMunich, Germany Apply now \n\nFEQ427R180\nThe data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape how they build, operate, and scale for years to come. This creates a significant opportunity to help customers turn data and AI investments into measurable business outcomes.\nThis role combines people leadership, business ownership, and executive engagement. You will operate as a player-coach in key deals while building a high-performing, scalable field-engineering organisation for a consumption-based business.\nYou report to the Director, Field Engineering.\nThe impact you will have \nBuild, lead, and scale the pre-sales (Solutions Architect) team for your assigned customers in Germany, including hiring, coaching, performance management, and career development, and owning coverage across your account portfolio.\nOwn pre-sales ROI and effectiveness, including coverage models, prioritisation, and impact on win-rate, sales cycles, and customer adoption.\nAct as a player-coach by balancing hands-on involvement in key customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team.\nEstablish and reinforce a solution- and value-based selling culture, focused on business outcomes, not just technical excellence.\nPartner closely with Sales leadership to support forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model.\nEngage with senior and executive stakeholders at customers to build trusted relationships and long-term partnerships.\nDrive a scalable adoption model by anchoring partner and PS attach and establishing a crisp pre-/post-sales handshake tied to consumption outcomes (onboarding readiness, adoption milestones, expansion path).\nRepresent Field Engineering as part of the regional team, contributing to Databricks' brand, market positioning, and growth in Germany.\n\nWhat we look for \nProven experience building "},{"ref":"P14","kind":"page","title":"Enterprise Account Executive, Fashion & Retail","date":"2026-06-11T04:11:06.465931+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8509687002","signal_url":null,"signal_json_url":null,"text":"Enterprise Account Executive, Fashion & Retail - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nEnterprise Account Executive, Fashion & Retail\n\nMilan, Italy Apply now \n\nSLSQ427R278\nWant to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.\nDatabricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape.\nWe are looking for a creative, delivery-oriented Named Enterprise Account Executive to join the team in the Italy to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth.\nYou will report to the Sales Director, Italy. \nThe impact you will have: \nYou will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals\nYou will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform\nYou will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement\nYou will develop an understanding of technical product details and roadmap to build trust with executives and technical champions\n\nWhat we look for: \nExstensive experience selling complex solutions to Enterprise Customers\nYou will have experience managing and leading complex, federated sales campaigns in major accounts\nYou will have experience working in Data, Cloud industries with some technical"},{"ref":"P15","kind":"page","title":"Sr. Solutions Architect - Lakebase","date":"2026-06-11T04:11:06.298294+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8407197002","signal_url":null,"signal_json_url":null,"text":"Sr. Solutions Architect - Lakebase - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nSr. Solutions Architect - Lakebase\n\nUnited States Apply now \n\nSLSQ127R199\n\nMission \nThe Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.\nThe Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.\nThe Lakebase product-line requires the following core technical competencies: \n10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.\nCredibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities.\nExperience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.\nInfrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out metho"},{"ref":"P16","kind":"page","title":"Regional Vice President, Lakebase Sales Specialists","date":"2026-06-11T04:11:06.271925+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8449838002","signal_url":null,"signal_json_url":null,"text":"Regional Vice President, Lakebase Sales Specialists - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nRegional Vice President, Lakebase Sales Specialists\n\nUnited States Apply now \n\nReq ID: FEQ227R99\nRegional Vice President, Lakebase Sales Specialists \n(North America)\nWe are looking for a highly strategic and execution-oriented Regional Vice President, Lakebase Sales Specialists to lead a team of specialists responsible for growing the Databricks Lakebase business Globally.\nDatabricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks consisting of operational databases, data warehouses, and separate AI platforms toward a unified data and application platform.\nYou will lead a team of specialists partnering with Account Executives, Solution Architects, and Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires both strong sales leadership and the ability to create a new sales motion across a global field organization.\nThis is a highly visible role across Sales, Product, and Engineering and will help define how Databricks engages developer and platform engineering buying centers at scale.\nThe impact you will have: \nDrive Revenue Growth Build and exceed quarterly and annual consumption and booking targets for Lakebase\nDevelop pipeline across application modernization, database consolidation, and operational workload opportunities\nHelp customers replace or consolidate legacy operational databases onto the Databricks platform\nEstablish repeatable sales plays that drive land and expand adoption \n\nLead and Develop a Specialist Team Recruit, hire, and develop a high-performing team of Lakebase Sales Specialists\nCoach the team on complex deal strategy, technical qualification, and executive engag"},{"ref":"P17","kind":"page","title":"Solutions Engineer","date":"2026-06-11T04:11:06.032744+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8534974002","signal_url":null,"signal_json_url":null,"text":"Solutions Engineer - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nSolutions Engineer\n\nNew York City, New York Apply now \n\nFEQ327R76\nSolutions Engineer \nAt Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders . We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Not just telling them what's possible, but building working prototypes and demos that prove it. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!\nThis will be an in-office role and candidates must be based in our New York City (Midtown location) office. Relocation assistance will not be provided. \nRecent graduate? : We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.\nThe impact you will have: \nForm successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.\nOperate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of"},{"ref":"P18","kind":"page","title":"Delivery Solutions Architect","date":"2026-06-11T04:11:05.974152+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476496002","signal_url":null,"signal_json_url":null,"text":"Delivery Solutions Architect - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nDelivery Solutions Architect\n\nBrisbane, Australia; Melbourne, Australia; Western Australia, Australia Apply now \n\nCSQ327R30\nAt Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\nThis is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. \nThe impact you will have: \nEngage with Solutions Architects to understand the full use case demand plan for prioritised customers\nLead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\nBe the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driv"},{"ref":"P19","kind":"page","title":"Staff Backline Engineer - Platform","date":"2026-06-11T04:11:05.806798+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8465439002","signal_url":null,"signal_json_url":null,"text":"Staff Backline Engineer - Platform - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nStaff Backline Engineer - Platform\n\nMountain View, California; San Francisco, California Apply now \n\nP-1399 \nRecruiter: Stephanie Williams \nHiring Manager: Ratish Maruthiyodan\n\nAt Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.\nAbout the Team: \nThe Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasize automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.\nWhat your impact will be: \nAct as the ultimate technical escalation point, driving the resolution of the most complex, high-stakes customer issues on the Databricks Platform through deep analysis of core components, metrics, and logs.\nElevate global team competency by architecting standardized troubleshooting methodologies, comprehensive runbooks, and leading deep-dive technical enablement sessions.\nChampion product supportability and observability, by acti"},{"ref":"P20","kind":"page","title":"Sr. Solutions Architect - Global Telecommunications ","date":"2026-06-11T04:11:05.543311+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8476403002","signal_url":null,"signal_json_url":null,"text":"Sr. Solutions Architect - Global Telecommunications - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nSr. Solutions Architect - Global Telecommunications \n\nRemote - Georgia; Remote - Texas Apply now \n\nFEQ227R233\n\nWhile candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.\n\nAt Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!\n\nThe impact you will have: \nDevelop customer engagement strategies in partnership with Account Executive(s) in your designated territory.\n\nCoach junior Solutions Architects and teams on use case prioritization and building technical champions.\n\nYou will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.\n\nBe a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.\n\nContribute to Databricks' technical community engagement by developing customer-facing colla"},{"ref":"P21","kind":"page","title":"Manager, Field Engineering - Financial Services Industry","date":"2026-06-11T04:11:05.471598+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8557075002","signal_url":null,"signal_json_url":null,"text":"Manager, Field Engineering - Financial Services Industry - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nManager, Field Engineering - Financial Services Industry\n\nToronto, Canada Apply now \n\nREQ ID - FEQ227R90\nLocation: Toronto, ON\nThe Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in Canada are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solution Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward.\nReporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Commercial and Enterprise segment of Databricks’ Field Engineering team focused on the Financial Services Industry. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.\nThe impact you will have: \nYou will hire, train, grow and manage a team of Solutions Architects for a company in high-growth mode.\nMake your customers extremely successful with Databricks and provide outsized value to their businesses.\nYou will maintain a robust hiring pipeline at all times.\nEstablish relationships across the business to make your customers and team successful.\nPartner with sales leadership to hit sales and consumption targets and ensure customer success\nKeep your team of SAs ahead of the technical curve. An SA adds value by maintaining a deep understanding of the technolog"},{"ref":"P22","kind":"page","title":"Lakebase Sales Specialist","date":"2026-06-11T04:11:05.187899+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8569552002","signal_url":null,"signal_json_url":null,"text":"Lakebase Sales Specialist - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nLakebase Sales Specialist\n\nParis, France Apply now \n\nSLSQ327R363\nDatabricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.\nLakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.\nThe impact you will have \nDrive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.\nLead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.\nSell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.\nRun complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.\nOrchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.\nCompete and win against legacy and cloud-native operational databases by levera"},{"ref":"P23","kind":"page","title":"Delivery Solutions Architect","date":"2026-06-11T04:11:05.035543+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8549044002","signal_url":null,"signal_json_url":null,"text":"Delivery Solutions Architect - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nDelivery Solutions Architect\n\nVancouver, Canada Apply now \n\nREQ ID - CSQ427R11\nLocation: Vancouver, BC\nAt Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.\nThis is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. \nThe impact you will have: \nEngage with Solutions Architects to understand the full use case demand plan for prioritised customers\nLead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts\nBe the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enabl"},{"ref":"P24","kind":"page","title":"Enterprise Account Executive, Nordics","date":"2026-06-11T04:11:04.91324+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8536352002","signal_url":null,"signal_json_url":null,"text":"Enterprise Account Executive, Nordics - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nEnterprise Account Executive, Nordics\n\nStockholm, Sweden Apply now \n\nSLSQ327R42\nNote: We are open to candidates based in Sweden, Denmark or Finland. \nWant to help solve the world’s toughest problems with data and AI? This is what we do every day at Databricks.Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today’s ultra-competitive landscape.\nAs a Core Enterprise Account Executive, you will own a focused territory of ~10 large Enterprise spending accounts across the Nordics. As a successful candidate, you are a high-achieving sales professional and self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, are always prospecting and identifying new use cases and growing consumption, and can guide deals forward to compress decision cycles. You love understanding a product in-depth, and are passionate about communicating its value to customers and partners. You will report to the Director of Enterprise Sales, Nordics. \nThe impact you will have: \nAssess your territory and develop a successful execution strategy \nDrive quarter-on-quarter consumption growth in existing accounts\nExceed activity and quarterly revenue targets\nTrack all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\nIdentify new use case opportunities and showcase value to existing customers\nPromote the value of the Databricks' Data Intelligence Platform \nEnsure 100% satisfaction among all customers\n\nWhat we look for: \nMinimum 4+ years of sales experience in the software industry, preferably in open source, data platform, AI/ML Infra, Observability, cloud infrastructure or cloud security \nExperience growing consumption, and closing commit deals in a direct sales role\nProven track record of exceeding sales targets/quotas\nAdvanced understanding of MEDDPICC and Value Selling\nCompetent"},{"ref":"P25","kind":"page","title":"Solutions Architect Greenfield (New Logo) Mid Market France","date":"2026-06-11T04:11:04.823525+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8560496002","signal_url":null,"signal_json_url":null,"text":"Solutions Architect Greenfield (New Logo) Mid Market France - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nSolutions Architect Greenfield (New Logo) Mid Market France\n\nFrance Apply now \n\nFEQ327R195 \nThe location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule). \nAt Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.\nYou will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges.\nYou'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.\nJoin us in our quest to change how people work with data and make a better world!\n\nThe impact you will have: \nForm successful relationships with Greenfield (New Logo) clients within the SMB market in France, providing technical and business value to Databricks customers in collaboration with Account Executives.\nOperate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.\nScale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.\nGrow your knowledge and expertise to the level of a te"},{"ref":"P26","kind":"page","title":"Executive Assistant","date":"2026-06-11T04:11:04.390296+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8574366002","signal_url":null,"signal_json_url":null,"text":"Executive Assistant - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nExecutive Assistant\n\nSan Francisco, California Apply now \n\nRDQ427R333\nAbout the Role \nDatabricks is looking for a highly capable, process-driven, and proactive Executive Assistant to support a Senior Leader within Product & Engineering, while also supporting our SVP of Corporate Development & Ventures.\nThe primary mission of this person is to support our Engineering and Product leaders, partnering with them to operationalize their teams' cross-functional strategies. You will serve as a key liaison across various departments—including Sales, Marketing, IT, and other critical functions—to ensure alignment and execution. Additionally, you will drive strategic initiatives and community events that foster collaboration across the Engineering and Product organizations.\nWhile deeply rooted in supporting a massive internal engineering footprint, this high-visibility, fast-paced role sits at a unique intersection. You will also manage the rhythm of a deal-driven corporate development environment, triaging incoming requests from startups, founders, and investors, and handling highly sensitive, confidential information with absolute discretion.\nThe Impact You Will Have \nEnsure the Engineering leader is prepared for all meetings, with an accurate and forward-looking calendar.\nEffectively prioritize the calendar and schedule meetings in a timely manner.\nProvide timely responses to all stakeholder requests.\nEnhance the Engineering leader's time efficiency, leading to a more productive team and company.\nExecute strategic initiatives well, delivering on defined outcomes.\n\nResponsibilities \nCalendar Management: Organizes all meetings across international time zones, including but not limited to internal engineering team meetings, customer meetings, internal business partners, and external venture/M&A requests.\nRequest Tracking & SLAs: Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests from both internal technical staff and ex"},{"ref":"P27","kind":"page","title":"Core Account Executive, Nordics (Digital Natives)","date":"2026-06-11T04:11:04.257254+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8460871002","signal_url":null,"signal_json_url":null,"text":"Core Account Executive, Nordics (Digital Natives) - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nCore Account Executive, Nordics (Digital Natives)\n\nStockholm, Sweden Apply now \n\nSLSQ427R2\nWant to help solve the world’s toughest problems with data and AI? This is what we do every day at Databricks.\nDatabricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today’s ultra-competitive landscape.\nAs a Core Account Executive (Digital Natives) at Databricks, you will own a focused territory of ~10 large Digital Native spending accounts across the Nordics. As a successful candidate, you are a high-achieving sales professional and self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, are always prospectng and identifying new use cases and growing consumption, and can guide deals forward to compress decision cycles. You love understanding a product in-depth, and are passionate about communicating its value to customers and partners. \nYou will report to the Senior Manager, Emerging Enterprise Nordics. This role is based in Stockholm, though we are open to strong candidates located in other parts of Sweden.\n\nThe impact you will have: \nAssess your territory and develop a successful execution strategy\nDrive quarter-on-quarter consumption growth in existing accounts\nExceed activity and quarterly revenue targets\nTrack all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce\nIdentify new use case opportunities and showcase value to existing customers\nPromote the value of the Databricks' Data Intelligence Platform and other products\nEnsure 100% satisfaction among all customers\n\nWhat we look for: \nGood understanding of the data platform and cloud ecosystems\nSome exposure to the software industry and understanding of selling SaaS, Data and Business Value\nExperience growing consumption and closing commit deals in a direct sales role\nCompetent with prospec"},{"ref":"P28","kind":"page","title":"Named Enterprise Account Executive - CPG","date":"2026-06-11T04:11:04.142041+00:00","date_source":null,"source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8505897002","signal_url":null,"signal_json_url":null,"text":"Named Enterprise Account Executive - CPG - Databricks Skip to main content \n\nOverview Culture Benefits Diversity Engineering Research Students & new grads \n\nBack to search results \nNamed Enterprise Account Executive - CPG\n\nRemote - Georgia; Remote - New York; Remote - Pennsylvania; Remote - Texas; Remote - Virginia; Remote - Washington D.C. Apply now \n\nSLSQ227R758\nAs a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.\nDatabricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.\nReporting to our Director of Enterprise Sales, you will manage 3 large enterprise Consumer Packaged Goods (CPG) clients within our Retail Vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.\nThe impact you will have: \nBuild relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.\nDrive value-based growth within the account.\nExpand the Databricks footprint into new business units and use cases.\nExceed activity, pipeline, and revenue targets.\nTrack all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.\nUse a solution-based approach to selling and creating value for customers.\nPromote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake\nPrioritize opportunities and leverage "},{"ref":"E1","kind":"event","title":"databricks/databricks-sql-python v4.3.0rc1","date":"2026-06-11T05:45:25+00:00","date_source":"source","source_url":"https://github.com/databricks/databricks-sql-python/releases/tag/v4.3.0rc1","signal_url":"https://onlylabs.fyi/signals/d1f9718c-1cf7-4c27-a50c-cdaeae44289b","signal_json_url":"https://onlylabs.fyi/signals/d1f9718c-1cf7-4c27-a50c-cdaeae44289b/signal.json","text":"release · databricks/databricks-sql-python v4.3.0rc1 · signal_desk=releases · occurred_at=2026-06-11T05:45:25+00:00 · url=https://github.com/databricks/databricks-sql-python/releases/tag/v4.3.0rc1 · raw={\"repo\":\"databricks/databricks-sql-python\"}"},{"ref":"E2","kind":"event","title":"Sales Specialist - 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Expense","date":"2026-06-11T03:40:04+00:00","date_source":"greenhouse.updated_at","source_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8582308002","signal_url":"https://onlylabs.fyi/signals/c6fb632b-a0ee-4f8a-8027-6fb057a7d60d","signal_json_url":"https://onlylabs.fyi/signals/c6fb632b-a0ee-4f8a-8027-6fb057a7d60d/signal.json","text":"job_opened · Director, Travel & Expense · signal_desk=hiring · occurred_at=2026-06-11T03:40:04+00:00 · url=https://databricks.com/company/careers/open-positions/job?gh_jid=8582308002 · raw={\"location\":\"San Francisco, California; United States\",\"ats\":\"greenhouse\"}"},{"ref":"E11","kind":"event","title":"Strategic Enterprise Account Executive, State and 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databricks/databricks-agent-skills v0.2.3 · signal_desk=releases · occurred_at=2026-06-10T13:22:47+00:00 · url=https://github.com/databricks/databricks-agent-skills/releases/tag/v0.2.3 · raw={\"repo\":\"databricks/databricks-agent-skills\"}"},{"ref":"E56","kind":"event","title":"Announcing the Databricks storage ecosystem: Governing the enterprise data estate, wherever it lives","date":"2026-06-10T12:03:00+00:00","date_source":"rss.item_date","source_url":"https://www.databricks.com/blog/announcing-databricks-storage-ecosystem-governing-enterprise-data-estate-wherever-it-lives","signal_url":"https://onlylabs.fyi/signals/33d8aefd-624f-450f-aad0-a0e8748a8651","signal_json_url":"https://onlylabs.fyi/signals/33d8aefd-624f-450f-aad0-a0e8748a8651/signal.json","text":"post_published · Announcing the Databricks storage ecosystem: Governing the enterprise data estate, wherever it lives · signal_desk=talking · occurred_at=2026-06-10T12:03:00+00:00 · 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