Sr Staff Technical Program Manager- Security
About the role
We are seeking a Senior Staff Technical Program Manager to own and lead a company‑wide portfolio of security programs spanning Trust & Safety Engineering, Identity and Access Management, Platform Security, Security Operations, Product Security, and IT. The role will take a major security risk portfolio from strategy to measurable risk reduction by driving prioritization, architecture alignment, investment planning, execution, adoption, and operationalization. It connects customer‑facing product security with internal engineering and enterprise controls across Databricks’ product, corporate, and Databricks‑on‑Databricks environments.
Impact and responsibilities
- Architect and drive execution of strategic security initiatives across Trust & Safety Engineering, Identity and Access Management, Security, and IT.
- Establish company‑wide processes to identify, track, and resolve high‑risk security issues while influencing architecture and infrastructure decisions.
- Connect core security infrastructure to platform services so unified identity, data lineage, and audit controls extend across structured, unstructured, and AI workloads.
- Resolve cross‑organizational blockers with Director‑, VP‑, and C‑suite engineering leaders while balancing technical trade‑offs and resource constraints.
- Mentor TPMs and strengthen standards for technical rigor, operational execution, and program management.
- Represent Databricks’ security architecture and posture in executive technical reviews and, where appropriate, industry forums.
Minimum qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, or equivalent technical experience.
- 10+ years of progressive experience in technical program management, engineering program management, security program management, or an equivalent technical leadership role.
- Demonstrated ability to translate security, privacy, policy, and compliance objectives into technical strategy, architecture decisions, execution plans, and measurable outcomes.
- Proven skill in resolving conflicting priorities and resource constraints across cross‑functional teams without direct authority, establishing organization‑wide engineering processes, and delivering complex, multi‑team roadmaps.
- Strong written and verbal communication skills, with the ability to present complex technical strategies to executive engineering leaders.
- Experience using AI‑enabled tools to accelerate program strategy, technical problem‑solving, analysis, and automation.
- Ability to work onsite three days per week in Bellevue, Seattle, San Francisco, or Mountain View.
Preferred qualifications
- Experience operating in hyperscale cloud environments such as AWS, Azure, or GCP, or in complex distributed data‑processing environments.
- Prior hands‑on experience as a software, systems, or security engineer before transitioning to Technical Program Management.
- Familiarity with unified data governance architectures, distributed‑systems security, and/or security controls supporting AI and machine‑learning infrastructure.
- Experience with external security research, open‑source contributions, or speaking at major technical conferences.
Location
This position is onsite in Bellevue, WA; Seattle, WA; San Francisco, CA; or Mountain View, CA.
Pay range
Local pay range: $180,200 — $243,340 USD. Compensation may include annual performance bonus, equity, and the benefits listed below.
Benefits
Databricks provides comprehensive benefits and perks designed to meet the needs of employees. Specific details vary by region.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide—including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500—rely on the Databricks Data + AI Platform to build and scale data and AI applications, analytics, and agents. Headquartered in San Francisco with 30+ offices globally, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.