Sr. Staff Security Assurance Engineer

Databricks
Mountain View, CA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Cloud Engineering Information Systems Containerization Information Technology Data Analytics Databricks

Job description

As a Senior Staff Security Assurance Engineer within the Security Assurance Team, you will lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives.

You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard of our customers.

US Citizenship Required.

The impact you will have:

  • Drive Project Outcomes: Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, expanding Databricks’ reach across global markets.
  • Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment.
  • Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, and Product teams to reach timely resolutions.
  • Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile.
  • Precision Program Management: Masterfully oversee project lifecycles-including milestones, dependencies, and risk mitigation-while providing executive-level transparency through accurate status reporting.
  • Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance Team subject matter experts and technical stakeholders to ensure seamless alignment on security goals.

Requirements

Do you have experience in Managing projects?, Do you have a Bachelor’s degree?, * Proven Expertise: 12 years of experience (with Bachelor’s degree or 8 years with advanced degree) in security and technical program/project management. Ideally, at a fast-paced, cloud-native organization.

  • Strategic Ownership: Demonstrated success in leading high-stakes security compliance initiatives (e.g., FedRAMP, PCI, HIPAA) from inception to market.
  • Complexity Management: Experience navigating projects with intricate technical dependencies, multiple stakeholders, and competing constraints with geo-distributed teams.
  • Executive Presence: Ability to influence and communicate effectively across the spectrum, from deep-dive technical discussions with engineers to high-level briefings for senior leadership.
  • Agility & Continuous Learning: A proven track record of rapidly mastering new processes, methodologies, technologies, and security frameworks to meet evolving business needs.
  • Communication Excellence: Superb verbal and written skills, with a knack for translating complex project data into clear, actionable insights and documentation.
  • Educational Foundation: Bachelor’s degree in Computer Science, Information Systems, or a related technical field (or equivalent practical experience).

Benefits & conditions

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

About the company

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.

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