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Databricks

Builds cloud software for data analysis and AI

Engineering Manager - Identity and Access Management

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of software engineering experience.
  • At least 2 years of engineering management experience.
  • Experience building and leading teams responsible for security-critical infrastructure, including identity, authentication, or access control systems.
  • Ability to attract, hire, and develop engineers who meet high technical standards, with a track record of growing senior talent and coaching team members.
  • Strong understanding of distributed systems, cloud platforms, and service-oriented architectures.
  • Experience ensuring high service quality, reliability, and performance in production environments.
  • Ability to work cross-functionally with product management, security teams, and engineering leadership to define and execute technical strategy.
  • A B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

  • Lead the technical strategy and roadmap for identity and access management services, ensuring secure authentication and access control at cloud scale.
  • Build, grow, and mentor a high-performing engineering team, fostering a culture of technical excellence and collaboration.
  • Drive the design and delivery of reliable, performant identity and access management infrastructure that meets stringent service-level agreements and security requirements.
  • Partner with product management, security, and engineering teams across Databricks to integrate identity solutions into the platform.
  • Ensure regulatory compliance and alignment with industry best practices for identity and access management.
  • Manage technical debt and balance long-term architectural decisions with product roadmap priorities.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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