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# Sr. Staff Software Engineer - Data Platform

- **Company:** Databricks
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $228,600.0 - $314,250.0
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Continuous Integration, Data Infrastructure, Data Transformation, Programming Tools, Distributed Systems, Data Intelligence, Operational Databases, Data Logging, Information Technology, Low Latency, Databricks
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=24d08f839a2a77e7

## About the Role

Do you have experience in Tooling?, Do you have a Bachelor's degree?, * BS/MS/PhD in Computer Science or related majors, or equivalent experience.

 * 15+ years of industry experience building and operating large-scale distributed systems.
 * 6+ years of experience providing technical leadership on planet-scale production data systems
 * Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines).
 * Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments.
 * A strategic mindset with the ability to align engineering execution with longer-term product and company goals.
 * Passion for mentoring and developing other engineers.

Pay Range Transparency

## Description

As a Sr. Staff Software Engineer you will be part of the executive leadership team on the Data Platform org. You will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform that will allow us to automate decision-making across Databricks. You will achieve this in collaboration with prominent Tech Leads, Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few.

The impact you will have:

 * 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 protection 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.
 * Partner with other prominent tech leaders to develop and influence technical direction and capabilities of our Databricks product.
 * Be customer 0 and a trusted advisor to product leadership.
 * Represent Databricks at academic and industrial conferences & events.


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