At Databricks, we are dedicated to enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. As a Senior Staff Software Engineer in Privacy, you'll join our Trust & Safety mission to build the most trusted data analytics and ML platform globally. This role is crucial in the Security Engineering team, focusing on protecting customer data from bad actors.
You'll be working at the intersection of security, privacy, and large-scale distributed systems, bringing your expertise to create and implement security strategies that protect our platform and customers. The position requires deep technical knowledge in security domains such as cryptography, Kubernetes security, web security, and privacy, combined with extensive experience in building highly available distributed systems.
As a senior technical leader, you'll have the opportunity to shape the security vision of Databricks, lead cross-functional teams, and make significant architectural decisions that impact the platform's security posture. You'll work with cutting-edge technology while solving complex security challenges at scale.
The role offers competitive compensation ($232,000 - $313,000) and comprehensive benefits. You'll be part of a company that serves over 10,000 organizations worldwide, including major enterprises and Fortune 500 companies. This is an opportunity to work with the original creators of Apache Spark™, Delta Lake, and MLflow, making a significant impact on the future of data security and privacy.
The ideal candidate will bring 15+ years of distributed systems experience, strong leadership capabilities, and the ability to drive security initiatives across the organization. If you're passionate about building secure, scalable systems and want to work at the forefront of data and AI technology, this role offers the perfect combination of technical challenge and leadership opportunity.