Senior Software Engineer - Partner Ecosystem
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 design, develop, and maintain SQL drivers and integration infrastructure. You will improve connector performance, reliability, and telemetry; maintain open-source repositories; collaborate on technical requirements; and evolve partner connectivity offerings.
Requirements
- 5+ years of production-level experience with Java, Python, Go, or a similar language.
- Ability to work toward a multi-quarter vision with incremental deliverables.
- Experience architecting, developing, deploying, and operating high-performance systems.
- Experience maintaining or contributing to open-source repositories.
- Ability to lead engineering projects across functional and organizational boundaries.
- Ability to resolve ambiguity with stakeholders and design solutions to complex problems.
Responsibilities
- Build and maintain reliable SQL connectors.
- Optimize SQL drivers for performance, reliability, and telemetry.
- Maintain open-source repositories and engage the developer community.
- Collaborate with cross-functional teams to define requirements and architect solutions.
- Work with SQL server teams to deliver connector features.
- Work with product teams to shape Partner Connect.