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Databricks

Partner Engineer: Partner Intelligence, AI & Apps

San Francisco, CaliforniaFrom $140.2kmidAdded yesterday

About this role

Databricks seeks a Partner Engineer to build and maintain internal data infrastructure, analytics, and AI applications that power the ISV partner organization. You'll work across data pipelines, dashboards, metrics frameworks, and AI workflows while serving as an early adopter of Databricks' latest features.

What you'll do

  • Design, build, and maintain production data pipelines with monitoring and governance
  • Own partner performance metrics, definitions, and metric views as the source of truth
  • Build dashboards, Genie spaces, and self-serve analytics tools for operational decision-making
  • Develop AI applications and agentic workflows to automate partner business operations
  • Test and provide feedback on new Databricks features (Apps, Genie, AI/BI, Agent Bricks)
  • Collaborate with Developer Relations to create reusable examples from internal work

What they're looking for

  • Databricks (data engineering and analytics tools)
  • SQL and Python (production-level proficiency)
  • Data pipeline design and orchestration
  • Analytics layer/semantic modeling and metric definition
  • AI applications and LLM-powered workflows
  • AI code-generation tools (Claude, Cursor, Lovable, Replit)
  • dbt or transformation frameworks (preferred)
  • Clear communication in ambiguous, fast-moving environments
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Databricks

Databricks builds a unified data and AI platform that combines database systems, distributed computing, and generative AI capabilities across multi-cloud infrastructure. The company is hiring software engineers, applied AI engineers, and web engineers to develop core database engines, ML/AI features, inference systems, and user-facing products.

Website
databricks.com
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Likely interview questions

  • Walk us through a production data pipeline you built—how did you ensure quality and reliability at scale?
  • Tell us about a time you defined business metrics or KPIs for a team. How did you ensure stakeholder alignment?
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