Staff Software Engineer - Ingestion
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 9/25/2026
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 build scalable, highly available, fault-tolerant ingestion systems that process data at production scale. You will debug and optimize low-level systems, design architecture, investigate production issues, and lead complex cross-functional projects. You will mentor engineers, plan sprints, delegate assignments, and guide technical initiatives.
Requirements
- 15+ years of industry experience building and supporting large-scale distributed systems
- Experience with database replication, backup, or transaction recovery at a major database vendor
- Strong foundation in algorithms and data structures
- Ability to work toward a multi-year vision with incremental deliverables
- Experience driving company initiatives toward customer satisfaction
Responsibilities
- Build scalable, highly available, fault-tolerant data-ingestion systems
- Debug, measure, and optimize performance on large production clusters
- Design architecture and influence the product roadmap
- Prevent and investigate production issues
- Plan and lead complex technical projects across multiple teams
- Lead engineering review initiatives
- Prototype and validate solutions to de-risk complex problems
- Mentor engineers, lead sprint planning, and delegate work