At Databricks, we are dedicated to enabling data teams to solve the world's toughest problems through our world-class data and AI infrastructure platform. Founded in 2013 by Apache Spark's original creators, we've grown from a small Berkeley office to a global organization with over 1500 employees. Our Trust & Safety team is crucial in building the most trusted data analytics and ML platform globally.
As a Senior Software Engineer in Privacy, you'll join our Security Engineering team within Trust & Safety, playing a vital role in protecting customer data from bad actors. This position requires expertise in data security, distributed systems, and a strong foundation in areas like cryptography, Kubernetes security, and access control.
The role combines technical leadership with hands-on engineering, requiring both deep technical knowledge and the ability to influence across the organization. You'll be responsible for identifying and addressing security gaps in our infrastructure, leading initiatives to enhance our security posture, and representing Databricks at industry events.
We're looking for candidates with 5+ years of experience in both data security and large-scale distributed systems. The ideal candidate will have an advanced degree in Computer Science or related fields, strong leadership capabilities, and excellent communication skills. You'll work on critical security initiatives that directly impact our customers' trust and safety.
The position offers competitive compensation ($165,300 - $237,800 USD for SF Bay Area), comprehensive benefits, and the opportunity to work with cutting-edge technology at a rapidly growing company that serves thousands of organizations, including many Fortune 100 companies.