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Databricks

Builds cloud software for data analysis and AI

Principal Engineer - Authentication

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of experience in Data Security or related areas, with expertise in at least two listed areas: Authentication, Network Security, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, or Detection and Response.
  • At least 15 years of experience building large-scale distributed systems with high availability.
  • Leadership skills and experience leading across functional and organizational lines.
  • Strong communication skills to explain and advocate for Data Security to senior leaders across the company.
  • A bias toward action and commitment to delivering high-quality solutions.
  • A Master of Science or Ph.D. in Computer Science or a related field.

Responsibilities

  • Craft and execute a long-term vision for Authentication that balances strong security with a frictionless user experience.
  • Recruit and mentor engineering talent to scale security infrastructure.
  • Represent Security Engineering across the organization and drive data-driven decisions at the executive level.
  • Present Databricks security innovations at major academic and industry conferences.

Desired Qualifications

  • Experience building systems at large-scale internet companies is a plus.

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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