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Director, Engineering Governance- Bellevue, WA

Databricks Mountain View, California Full-time Executive Engineering - Pipeline Posted Apr 9, 2026
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What it’s like to work at Databricks

Data & AI Platform · San Francisco

4.1
Employee Rating
3.9
Work-Life Balance
806
Open Roles
eng-drivenlearningequitydiverseproduct-impact

What employees love

  • Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
  • Strong compensation and equity packages consistently above market

What could be better

  • Hypergrowth means org changes are constant — teams restructure frequently
  • Some legacy Spark-era tech debt that can slow down new features
View full Databricks culture profile →

About the Role

P-1494

Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook.

For more information, visit www.databricks.com.

About the Team

We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks’ products and infrastructure. This role is not simply about running programs—it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

This is a strategic, hands-on technical leadership role with significant cross-company impact. You will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust.

What You’ll Own

Security & Privacy Governance Architecture

Incident Learning & Prevention

Security Champions & Distributed Expertise

Data Governance for Products & AI

Developer-Centric Security Enablement

Security Maturity & Customer Trust

What we need:

We’re looking for a leader who blends deep technical expertise, strategic vision, and organizational leadership:

Team & Organizational Structure

Why This Role Matters

This role shapes how Databricks balances innovation, AI, security, and scale. You will:

Qualifications:

Required Qualifications

Expertise driving cross-functional technical programs with senior stakeholders.


Preferred Qualifications

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range
$243,100$290,100 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Frequently Asked Questions

What is the work-life balance like at Databricks?
Databricks has a work-life balance score of 3.9/5 based on employee reviews. This is about average for the AI/tech industry.
What is Databricks’s culture like?
Databricks is characterized by these culture values: eng-driven, learning, equity, diverse, product-impact. Based on employee reviews, the company has an overall rating of 4.1/5. Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
How many open roles does Databricks have?
Databricks currently has 806 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in Mountain View, California. Check the job description above for specific location and remote work details.
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