Senior Enterprise Security Engineer

🕒 April 1

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Databricks is hiring an L5 Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise environment. • This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. • The scope includes modern access patterns such as MCP, integration, and trust boundary security, and broader security engineering support across enterprise platforms and services. • This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment and cross-functional partnership. • This role sits at the intersection of enterprise architecture, security engineering, and business enablement. • The engineer will review 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 IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to surface risk early, set clear requirements, and support scalable adoption of secure patterns. • This is a strong opportunity to help shape how Enterprise Security supports SaaS, internal platforms, automation, and AI-connected systems as the environment continues to grow in complexity.

🎯 Requirements

• 7+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field. • Experience conducting security design or architecture reviews for enterprise applications, SaaS platforms, integrations, or internally developed systems. • 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. • 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.

🏖️ Benefits

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.