Principal Engineer - Privacy
Databricks· Engineering
San Francisco, CA$220.4k - $297.4kFull-timePosted 7mo ago
About the role
Senior leadership role within Databricks' Trust & Safety / Security Engineering, responsible for defining vision and strategy for data security, privacy, and related disciplines across the organization, with emphasis on safeguarding customer data and influencing company-wide security posture.
Responsibilities
- Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
- Attract top talent from across the industry
- Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
- Represent Databricks at academic and industry conferences & events
Qualifications
- 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus
- 15+ years of experience building large scale distributed systems with high availability
- Leadership skills and experience to lead across functional and organizational lines
- Strong communication skills to explain and evangelize Data Security to senior leaders across the company
- Bias to action and passion for delivering high-quality solutions
- MS or Ph.D. in Computer Science or related fields
Skills
Required:Data SecurityLeadershipCommunication
Nice to have:CryptographyKubernetes SecurityWeb SecurityGovernancePrivacy, Trust, SafetyAuthentication, Identity Management
Benefits
- Comprehensive benefits and perks (region-specific) – details available via provided link
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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