Databricks is seeking an L6 Staff Enterprise Security Engineer to enhance Enterprise Security across its evolving enterprise and product landscape. This role emphasizes securing enterprise applications, data flows, and AI-related use cases while collaborating with the Data team on security reviews and configurations. The engineer will assess new technologies and workflows, focusing on secure design and operational resilience. This position offers a unique opportunity to influence how Enterprise Security integrates with product development and internal platforms.

• 8+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field.
• Experience conducting security design or architecture reviews for product features, enterprise applications, SaaS platforms, integrations, or internally developed systems.
• Hands-on familiarity with the Databricks platform or comparable data/AI platforms.
• Strong understanding of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege design.
• Experience assessing data flows, third-party integrations, trust boundaries, logging and monitoring, and security controls across interconnected systems.
• Proven track record building security automation in production.
• Ability to evaluate risk in modern enterprise environments, including automation platforms and AI-adjacent workflows.
• Strong written and verbal communication skills.
• Experience driving security outcomes through engineering judgment and scalable process improvement.
• Familiarity with cloud platforms, enterprise identity systems, and core control domains.

• Establish a consistent engagement model with the Data team for security reviews and guidance.
• Strengthen security practices across enterprise applications and data-security reviews by identifying key risks early.
• Build automation and agent capabilities to secure systems from the start and reduce manual review dependency.