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 9/23/2026
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 design and operate the metrics store and Data Intelligence Platform. You will build ETL frameworks, data pipelines, telemetry APIs, CI/CD tooling, and infrastructure-as-code capabilities across clouds. You will provide technical leadership on long-term product requirements and represent the organization at industry and academic events.
Requirements
- 12+ years of industry experience
- 4+ years of experience building large-scale distributed systems
- 5+ years providing technical leadership on large projects
- Experience building, shipping, and operating reliable multi-geo data pipelines at scale
- Experience operating workflow or orchestration frameworks such as Airflow or DBT
- Experience with large-scale messaging systems such as Kafka or RabbitMQ
- Cross-functional communication and consensus-building skills
- Passion for data infrastructure and data accessibility
Responsibilities
- Design and operate a metrics store for shared business and engineering metrics
- Design and operate the cross-company Data Intelligence Platform
- Develop tooling and infrastructure for CI/CD, pipeline testing, data quality, and infrastructure as code
- Design the base ETL framework for company pipelines
- Provide technical leadership on long-term product vision and requirements
- Build reliable multi-cloud data pipelines and provide product feedback
- Establish and evolve telemetry, debug, feature, and audit-event APIs
- Represent Databricks at academic and industrial conferences and events