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Databricks

Builds cloud software for data analysis and AI

Principal Engineer - Privacy

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • At least 9 years of experience in Data Security or related areas, with expertise in two or more of the following: cryptography, Kubernetes security, web security, governance, privacy, trust, safety, authentication, identity management, access control, key management, inter-service authentication, secure application frameworks, and 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 evangelize Data Security to senior leaders across the company.
  • A bias to action and passion for delivering high-quality solutions.
  • A Master of Science or Ph.D. in Computer Science or a related field.

Responsibilities

  • Identify and address key gaps in Databricks infrastructure and services to make the platform safer for customers.
  • Attract top talent from across the industry.
  • Represent the security engineering discipline throughout the organization and advocate for data-driven decision-making.
  • Represent Databricks at academic and industry conferences and events.

Desired Qualifications

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