Staff Software Engineer (Data Platform)
Databricks · Posted Oct 17
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks is a data and AI company that builds and operates a large-scale data and AI infrastructure platform for customers worldwide. The Data Platform team builds the Data Intelligence Platform to automate decision-making across the company and serves as a large in-house customer of Databricks products. This Staff Software Engineer will design and run the metrics store and Data Intelligence Platform, develop tooling and infrastructure for running Databricks at scale, and build reliable data pipelines and ETL frameworks.
What you will do
- Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
- Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
- Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
- Design the base ETL framework used by all pipelines developed at the company.
- Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product.
- Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products.
- Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
- Represent Databricks at academic and industrial conferences & events.
Skills used in this role
What the employer is looking for
- 12+ years of industry experience
- 4+ years of experience building large scale distributed systems
- 5+ providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security.
- Experience building, shipping and operating reliable multi-geo data pipelines at scale.
- Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools.
- Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems.
- Excellent cross-functional and communication skills, consensus builder.
- Passion for data infrastructure and for enabling others by making their data easier to access.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
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