Senior Staff Software Engineer Managed Tables
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 and implement enterprise-grade autonomous analytical data systems. You will develop storage lifecycle and optimization capabilities, improve storage layouts, advance data-format and catalog interoperability, debug and optimize production systems, lead technical projects, automate operations, investigate incidents, and mentor engineers.
Requirements
- 15+ years building and supporting large-scale distributed systems
- Knowledge of database systems, storage systems, distributed systems, language design, or performance optimization
- Experience delivering against a multi-year vision with incremental deliverables
- Knowledge of algorithms and data structures
Responsibilities
- Design and implement autonomous analytical data systems
- Develop storage lifecycle and background optimization capabilities
- Build efficient storage structures and storage layout solutions
- Influence data-format and catalog-interface unification
- Deliver scalable, available, interoperable Managed Tables architecture
- Debug and optimize large production clusters
- Introduce tools for service automation and operability
- Lead complex cross-team technical projects
- Mentor and develop engineers
Benefits
- Annual performance bonus eligibility
- Equity eligibility