Staff Enterprise Security Engineer

Mission

Databricks is hiring an L6 Staff Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise and product environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes partnership with the Data team on corporate production development within the Databricks platform, through security reviews of implementation designs, hardening, configuration oversight, and broader enterprise data-security discussions, as well as modern access patterns such as MCP, integration, and trust boundary security, security automation, and broader security engineering support across enterprise platforms and services.

Opportunity

This role sits at the intersection of enterprise architecture, security engineering, product security partnership, and business enablement. You will assess new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with Product Engineering, IT, Legal Privacy, and business stakeholders to surface risk early, set clear requirements, and build automation that scales security coverage.

Requirements

• 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 (Unity Catalog, workspace governance, service principals, data access patterns).
• 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: monitoring, posture checks, review workflows, or tooling (Python, SQL, Terraform, or similar).
• 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.

Expected Outcomes

• Establish a consistent EntSec engagement model with the Data team on corporate production development within the Databricks platform: security review of implementation designs, hardening guidance, configuration oversight, and tracked remediation.
• Strengthen security practices across enterprise applications, integration, and data-security reviews by identifying key risks early, improving requirement quality, and addressing security issues earlier in the lifecycle.
• Build automation and agent capabilities, including SSPM-style controls and Security AI Personas, to secure systems proactively and reduce dependency on manual review.