Tech Lead Manager Lakebase
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/23/2026
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 lead a small engineering group while remaining hands-on with architecture, system design, and coding. You will own delivery, uphold technical standards through reviews and testing, grow direct reports, coordinate dependencies, unblock projects, and shape a long-term roadmap.
Requirements
- 5+ years of engineering experience
- Tech lead or senior engineering experience
- System design
- Coding
- Architecture for large-scale distributed services
- Testing
- Monitoring
- Service-level agreements
- People management or tech lead experience
- Stakeholder alignment
- Balancing short-term delivery and long-term stability
- Computer Science or related field
Responsibilities
- Lead a team of 5-6 engineers
- Own execution and on-time high-quality delivery
- Drive architecture and design
- Write code for the hardest project work
- Set technical standards through architecture reviews and testing
- Grow engineers through feedback and career development
- Align partner teams on dependencies
- Unblock cross-cutting Lakebase projects
- Partner with engineering and product leadership on a long-term roadmap