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L6 Enterprise Security Engineer

databricks
Remote - California
Remote

About this role

Job title: L6 Enterprise Security Engineer

About the Role Databricks is hiring an L6 Enterprise Security Engineer to expand security coverage across a rapidly evolving enterprise environment. The role focuses on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases, with emphasis on modern access patterns, MCP, integration, and trust boundary security. This role sits at the intersection of enterprise architecture, security engineering, and business enablement, partnering across IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to surface risk early and define practical security requirements.

What You'll Do

  • Review new technologies, integrations, and workflows with emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience.
  • Identify risk, define practical security requirements, and improve security outcomes through strong technical judgment and cross-functional partnership.
  • Partner with IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to surface risk early, set clear requirements, and support scalable adoption of secure patterns.
  • Support secure patterns across SaaS, internal platforms, automation, and AI-connected systems as the environment grows.
  • Evaluate security controls across enterprise platforms and services and contribute to enterprise security engineering.

What We're Looking For

  • 8+ years of experience in security engineering, enterprise security, application security, cloud security, or related field.
  • Experience conducting security design or architecture reviews for enterprise applications, SaaS platforms, integrations, or internally developed systems.
  • 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.
  • Ability to evaluate risk in modern enterprise environments, including automation platforms, AI-adjacent workflows, and emerging integration patterns such as MCP.
  • Strong written and verbal communication skills, including the ability to translate technical risk into clear requirements and actionable guidance.
  • Experience driving security outcomes through engineering judgment, influence, and scalable process improvement.
  • Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response.

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