Staff Enterprise Security Engineer

Databricks is hiring an L6 Staff Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise and product environment, focusing on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The role 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.

This role sits at the intersection of enterprise architecture, security engineering, product security partnership, and business enablement. The engineer 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, partnering closely with Product Engineering, IT, Legal Privacy, and business stakeholders.

• 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.
• Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response.

• Establish a consistent EntSec engagement model with the Data team on corporate production development within the Databricks platform.
• Strengthen security practices across enterprise applications, integration, and data-security reviews, including AI-adjacent workflows, data flows, and integration patterns.
• Build automation and agent capabilities, including SSPM-style controls and Security AI Personas.

Zone 1 Pay Range $194,800—$267,850 USD; Zone 2 Pay Range $175,400—$241,100 USD; Zone 3 Pay Range $165,600—$227,700 USD; Zone 4 Pay Range $155,800—$214,300 USD. Total compensation may also include eligibility for annual performance bonus, equity, and benefits.

Databricks is the Data and AI company, with more than 20,000 organizations worldwide relying on the Databricks Data + AI Platform. Headquartered in San Francisco with 30+ offices around the globe.