Sr. Security Engineer, Enterprise Security
Databricks2 days ago
Base Salary
$134k - $231k/yr
Responsibilities
- Implement and improve preventive security controls across enterprise applications, identity, endpoint, network, SaaS, cloud, and data-security systems.
- Build reusable security automation and integrations using Python, Go, APIs, Terraform, and comparable technologies.
- Automate configuration checks, access validation, evidence collection, remediation workflows, and recurring security reviews.
- Develop AI-assisted and agent-based security automation with appropriate access controls, testing, monitoring, and auditability.
- Create automated testing, monitoring, configuration-drift detection, and continuous control-validation capabilities.
- Troubleshoot authentication, API integration, permissions, configuration, and security-tooling challenges with IT, Engineering, and platform owners.
- Translate security requirements into reusable controls, automated checks, and secure defaults, and measure control effectiveness and automation reliability.
Requirements
- 7+ years of experience in security engineering, enterprise security, infrastructure security, cloud security, or a related field.
- Hands-on experience implementing, integrating, testing, and maintaining security controls in production enterprise environments.
- Strong programming and automation skills with Python, Go, or comparable languages, including API integrations, infrastructure-as-code, and version control.
- Experience engineering controls across identity, endpoint, SaaS, cloud, network, or data-protection domains.
- Strong understanding of authentication, authorization, SSO, OAuth, service identities, API security, secrets management, and least-privilege principles.
- Experience developing automated security checks, configuration validation, drift detection, and remediation workflows.
- Hands-on experience building or integrating AI-assisted or agent-based security automation with access controls, testing, monitoring, and auditability.
- Experience with automated testing, CI/CD, error handling, and operational monitoring.
- Ability to independently deliver security improvements, collaborate across Security, IT, Engineering, and platform teams, and achieve measurable outcomes.
- Preferred experience spanning multiple enterprise security domains, using Okta, Google Workspace, CrowdStrike, Jamf, Prisma Access, Open Policy Agent, OPA, or Rego, securing enterprise data and AI platforms, and working in large-scale cloud or SaaS environments.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
- Candidates in locations across the United States may be considered, in addition to the listed locations.
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.