Staff 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.
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 design and operate a data intelligence platform for business and product metrics. You will develop infrastructure and tooling, build reliable data pipelines, lead long-term technical vision with engineering partners, balance data protection with sharing, and represent the role at industry and academic events.
Requirements
- 10+ years of experience building and operating large-scale distributed systems
- 4+ years of technical leadership experience on large-scale production data systems
- Experience leading architecture efforts for performance-sensitive systems
- Strong communication skills in fast-paced cross-functional environments
- Ability to align engineering execution with long-term product and company goals
- Experience mentoring and developing engineers
Responsibilities
- Design and operate the cross-company Data Intelligence Platform
- Develop tooling and infrastructure for large-scale multi-cloud data operations
- Build CI/CD processes, pipeline test frameworks, data-quality tooling, and infrastructure-as-code tooling
- Partner with engineering teams to develop long-term product vision and requirements
- Build reliable data pipelines and solve data problems using Databricks, partner products, and open-source tools
- Provide product design and operations feedback
- Represent the role at academic and industrial conferences and events
