Principal Engineer - Privacy

Databricks Databricks · Data AI · San Francisco, CA · Engineering - Pipeline

This Principal Engineer role at Databricks focuses on Privacy within the Trust & Safety team, aiming to enhance the security and trustworthiness of their data and AI infrastructure platform. The role involves identifying and plugging security gaps, building large-scale distributed systems, and representing security engineering across the organization. While the company is in the data and AI space, this specific role is centered on security and privacy engineering, not direct AI/ML model development.

What you'd actually do

  1. Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
  2. Attract top talent from across the industry.
  3. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
  4. Represent Databricks at academic and industry conferences & events

Skills

Required

  • Data Security
  • Cryptography
  • Kubernetes Security
  • Web Security
  • Governance
  • Privacy
  • Trust
  • Safety
  • Authentication
  • Identity Management
  • Access Control
  • Key Management
  • Inter-Service Authentication
  • Secure Application Frameworks
  • Detection & Response
  • large scale distributed systems
  • high availability
  • Leadership skills
  • Communication skills

Nice to have

  • Experience building systems at large scale internet companies

What the JD emphasized

  • 10+ years of experience in Data Security or related areas
  • 15+ years of experience building large scale distributed systems with high availability
  • Leadership skills and experience to lead across functional and organizational lines
  • Strong communication skills to explain and evangelize Data Security to senior leaders across the company