Senior Software Engineer Data Platform
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 work across backend, distributed data systems, or full-stack engineering. You will build services, client libraries, data pipelines, pricing infrastructure, and product features. You will solve distributed-systems, service architecture, monitoring, workflow orchestration, and developer-experience challenges.
Requirements
- BS or higher in Computer Science or a related field
- 7+ years of production-level experience with Python, Java, Scala, C++, or a similar language
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with service-oriented architectures
Responsibilities
- Build reliable high-performance services and client libraries
- Develop scalable services and data pipelines
- Build pricing infrastructure and platform usage features
- Solve distributed systems and service architecture challenges
- Improve monitoring, workflow orchestration, and developer experience