Staff Partner Engineer Azure
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 the Databricks-Azure technical roadmap and coordinate integrations across product and engineering teams. You will resolve cross-company dependencies, create architecture artifacts and reference implementations, prototype and validate integrations, and provide technical guidance to field teams.
Requirements
- 10+ years of cloud solution architecture, partner engineering, or technical program management experience
- Microsoft Azure
- Cloud architecture
- Strategic technical partnerships
- Python
- SQL
- Infrastructure as code
- API integration
- Databricks platform
- Microsoft data and AI ecosystem
- Technical communication
Responsibilities
- Own the Databricks-Azure technical roadmap
- Align product features, integrations, and co-innovation priorities
- Track and resolve cross-company dependencies and blockers
- Drive engineering integrations from scoping through delivery
- Create architecture diagrams and reference implementations
- Enable field teams on Azure-Databricks integration patterns
Benefits
- Annual performance bonus eligibility
- Equity eligibility