Sr. Security Engineer, Enterprise Security
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will turn security requirements into working protections across Databricks' enterprise environment. You will implement and improve preventive controls, build automation using Python, Go, APIs and Terraform, develop AI-assisted security automation, validate controls continuously, and partner with IT and platform owners to remediate gaps.
Requirements
- 7+ years in security engineering, enterprise, infrastructure or cloud security
- Hands-on experience implementing and maintaining security controls in production
- Strong programming skills in Python, Go or similar, including APIs, infrastructure-as-code and version control
- Understanding of authentication, authorization, SSO, OAuth, secrets management, least privilege
- Experience with automated security checks and drift detection
- Experience building AI-assisted or agent-based security automation
- Experience with automated testing, CI/CD and operational monitoring
Responsibilities
- Implement and improve preventive security controls across enterprise systems
- Partner with security leads, IT and platform owners on access, configuration, endpoint, network and data-protection guardrails
- Develop reusable technical implementations and secure configuration patterns
- Build and maintain security automation using Python, Go, APIs, Terraform
- Automate configuration checks, access validation, evidence collection and remediation
- Develop AI-assisted and agent-based security automation
- Develop automated testing, monitoring and validation of controls
- Identify control gaps and configuration drift and validate remediation
- Troubleshoot authentication, API integration and permission issues
- Contribute to Security by Design initiatives
Benefits
- Eligibility for annual performance bonus
- Equity
