Overview As a Partner Intelligence Engineer at Databricks, you own internal tooling for the ISV partner organization, shaping pipelines, dashboards, Genie spaces, and AI-powered workflows. You will build and maintain the partner data stack in Databricks, using it daily, and collaborate with Apps, AI, and Developer Relations teams to share learnings. The role sits in San Francisco under Partner Engineering and offers the chance to impact partner performance, governance, and self-serve analytics at scale.
Responsibilities- Build, schedule, and maintain data pipelines for the partner business with quality, monitoring, and governance
- Own partner metrics, metric views, and definitions serving as the truth for performance and health
- Develop dashboards, Genie spaces, and apps for day-to-day operations
- Create internal AI applications and agentic workflows to automate partner operations
- Build internal tools on partner products (e.g., Replit, Lovable, Cursor, Claude, Codex) and feed learnings back to AI/Apps partnerships
- Act as an early Databricks adopter by testing new features and providing feedback to product teams, while contributing reusable examples via DevRel
Key requirements- 3+ years in data engineering, analytics engineering, or similar hands-on data/AI role
- Hands-on production experience with Databricks data engineering and analytics tools
- Strong SQL and Python with production data pipelines experience
- Experience building analytics layer: dashboards, semantic/metric layers, metric definitions
- Experience building AI applications or agentic workflows (LLM-powered apps/ automations)
- Proficiency with AI code-gen and app-building tools (Replit, Lovable, Cursor, Claude, Codex) in daily work
- Clear communicator in fast-moving, ambiguous environments
- Strong GSD (Gets Stuff Done) mindset
- Clear communication
- Adaptability in fast-moving environments
- Collaborative mindset
- Databricks data engineering and analytics
- SQL
- Python
