About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe.
Responsibilities
- Build, schedule, and maintain the data pipelines that run the partner business, and own their quality, monitoring, and governance.
- Own how we measure partners: the metrics, metric views, and definitions that serve as the source of truth for partner performance and health.
- Build and maintain the dashboards, Genie spaces, and apps the team uses to run the business day to day.
- Build AI applications and agentic workflows that automate how we run the partner business.
- Build real internal tools on partner products like Replit, Lovable, Cursor, Claude, and Codex, and bring what you learn about their strengths and gaps back to the AI and Apps partnerships.
- Try new Databricks features early (Apps, Genie, metric views, AI/BI, Lakebase, Agent Bricks), give product teams direct feedback, and work with Developer Relations to turn what you build into reusable examples.
Requirements
- 3+ years in data engineering, analytics engineering, or a similar hands-on data or AI role.
- Heavy hands-on production experience with Databricks data engineering and analytics tool.
- Strong SQL and Python, with experience building and maintaining production data pipelines.
- Experience building the analytics layer a team runs on: dashboards, semantic or metric layers, and clear metric definitions.
- Experience building AI applications or agentic workflows (LLM-powered apps and automations).
- Regular hands-on use of AI code-gen and app-building tools (Replit, Lovable, Cursor, Claude, Codex). You use them in your day-to-day work.
- Clear communicator who works well in fast-moving, sometimes ambiguous situations.
- Strong propensity for GSD → Gets Stuff Done!
Preferred:
- Depth in Databricks analytics and AI features: Genie, AI/BI, metric views, Lakebase, Agent Bricks.
- dbt or a similar transformation framework, and modern analytics-engineering practices.
- Experience defining business metrics and KPI frameworks.
- Open-source contributions or community work in data and AI.
Conditions
- Pay range: $101,900 — $140,150 USD per year.
- Total compensation package may include eligibility for annual performance bonus, equity, and benefits.