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Staff Enterprise Security Engineer

Databricks· Engineering
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Remote$194.8k - $267.9kFull-timePosted 4mo ago

About the role

Senior security engineering role focused on expanding enterprise security coverage across Databricks’ enterprise and product environments, with emphasis on securing enterprise applications, data flows, integrations, and AI-adjacent use cases; partnership with Data team on corporate production development and security review of designs, hardening, configurations, and data-security discussions.

Responsibilities

  • Establish a consistent EntSec engagement model with the Data team on corporate production development within the Databricks platform, including security reviews of implementation designs, hardening guidance, configuration oversight, and remediation tracking.
  • Strengthen security practices across enterprise applications, integrations, and data-security reviews by identifying key risks early and improving requirement quality across AI-adjacent workflows and integration patterns.
  • Build automation and agent capabilities (including SSPM-style controls and Security AI Personas) to secure systems from the start and embed security guidance earlier in product and integration lifecycles.

Qualifications

  • 8+ years of experience in security engineering, enterprise security, application security, cloud security, or 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, tooling such as Python, SQL, Terraform)
  • Ability to evaluate risk in modern enterprise environments including automation platforms, AI-adjacent workflows, and MCP integration patterns
  • Strong written and verbal communication skills to translate technical risk into 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 (audit logging, encryption, access control, data retention, incident response)

Skills

Required:Security design and architecture reviewsDatabricks platform familiarityAuthentication/Authorization/SSOData-flow and integration securitySecurity automation

Benefits

  • Benefits information available via regional link in job description.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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