Partner Engineer Partner Intelligence AI and Apps
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own internal data pipelines, metrics, dashboards, Genie spaces, and AI workflows that support partner operations. You will maintain data quality and governance, build reporting tools and internal applications, evaluate new platform features, and share reusable examples with Developer Relations.
Requirements
- 3+ years of data engineering, analytics engineering, or similar data or AI experience
- Databricks data engineering and analytics tools
- SQL
- Python
- Production data pipeline development
- Dashboard development
- Semantic layers
- Metric definitions
- AI application development
- Agentic workflows
- Replit
- Lovable
- Cursor
- Claude
- Codex
Responsibilities
- Build, schedule, and maintain partner-business data pipelines
- Own data quality, monitoring, and governance
- Define partner metrics and metric views
- Build dashboards, Genie spaces, and internal applications
- Build AI applications and agentic workflows
- Build internal tools using partner products
- Evaluate early Databricks features and provide product feedback
- Create reusable examples with Developer Relations
Benefits
- Annual performance bonus eligibility
- Equity eligibility
