Principal Engineer - Privacy
Databricks12 months ago
Base Salary
$278k - $339k/yr
Responsibilities
- Identify and address key security gaps in Databricks infrastructure and services.
- Create the vision and define the strategy for security and privacy engineering within Trust & Safety.
- Represent the security engineering discipline throughout the organization and promote data-driven decision-making.
- Attract top technical talent from across the industry.
- Represent Databricks at academic and industry conferences and events.
- Deliver high-quality security solutions for a highly available, large-scale platform.
Requirements
- 10+ years of experience in data security or related areas.
- 15+ years of experience building large-scale distributed systems with high availability.
- Expertise in at least two security areas, such as cryptography, Kubernetes security, web security, privacy, authentication, identity management, access control, or detection and response.
- Leadership experience across functional and organizational lines.
- Strong communication skills for explaining and evangelizing data security to senior company leaders.
- MS or Ph.D. in Computer Science or a related field.
- Experience building systems at large-scale internet companies is highly desirable.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through Databricks' benefits portal.
Tech Stack
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.