Databricks is the data and AI company, and they are seeking an L5 Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases while partnering with various stakeholders to improve security outcomes.
Responsibilities:
- Strengthen security practices across enterprise application and integration reviews by identifying key risks early, improving requirement quality, and helping teams address security issues earlier in the lifecycle
- Strengthen Enterprise Security’s capability to assess and guide AI-adjacent security, MCP and integration security, and cross-system data flow risk, while improving the consistency and scale of security reviews
Requirements:
- 7+ years of experience in security engineering, enterprise security, application security, cloud security, or a 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