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Sr. Staff Software Engineer - Unity Catalog Data Governance

Databricks

Job at a glance

Category
Data Governance
Work arrangement
On-site
Location
Bellevue, Washington
Salary range
$217,000
Posted
Jun 13, 2026
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Databricks is hiring a Sr. Staff Software Engineer - Unity Catalog Data Governance in Bellevue, Washington. This is a Data Governance job in the governance, risk, and compliance field, with a posted range of $217,000. Review the full details below and apply directly with Databricks.

RDQ126R47 At Databricks, we are passionate about enabling data teams to solve the world s toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability. We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog’s enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale. Key Responsibilities Technical Leadership: Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization. Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact. Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features. Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect. What We Look For 15+ years of industry experience building and operating large-scale distributed systems. Proven track record of driving initiatives focused on customer satisfaction and incremental delivery. Deep computer science expertise (algorithms, data structures) with real-world application. Strong leadership, communication, and cross-functional collaboration skills. BS in Computer Science or related fields (MS/PhD preferred) (Preferred) Experience in data governance, security, privacy, identity management,

Full responsibilities and requirements are on Databricks's application page.

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About Databricks
Hiring for governance, risk, and compliance jobs on GRC Careers.
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Location and market context

This job is based in Bellevue, Washington on-site. Local candidates benefit from being close to Databricks's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About data governance jobs

Data governance establishes ownership, quality, and controls over data as an asset. It is foundational to trustworthy analytics and AI, spanning cataloging, lineage, and access. Jobs like this one are typically evaluated against frameworks such as data management frameworks, data quality and lineage standards, and privacy and security controls.

How to position yourself for this data governance job

Strong candidates emphasize data ownership and stewardship, quality and lineage, catalog and access controls, and enabling analytics and AI on a trusted data foundation. In your resume and outreach, tie your experience to how Databricks would apply data management frameworks, data quality and lineage standards, and privacy and security controls, and lead with concrete outcomes rather than duties.

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