Senior Staff Engineer - Data Platform

Lead architecture and implementation of next-generation distributed data systems powering Uber's Data Lake with high scalability and sub-50ms latency handling 1M+ requests/second.

Own reliability, availability, performance, efficiency, and scaling improvements of data infrastructure including automation of capacity planning, configuration management, and incident management.

Collaborate cross-functionally with platform, product, and security teams to enable use of infrastructure and manage dependencies globally.

12+ years professional experience in backend development building large-scale distributed systems.

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Proven leadership in technical vision, architectural foresight, and managing large-scale engineering projects end-to-end.

Onsite requirement: At least 50% in-office presence unless fully remote work approved.

Experience and leadership in big data systems such as Spark, Hive, Flink, Presto, and cloud-native infrastructure (GCP) with Kubernetes at massive scale.

Strategic thinker who anticipates architectural challenges a year ahead and leads organization-wide adoption of robust frameworks and best practices.

Experienced in building hardened developer tools/SDKs and driving cross-organizational alignment on technical vision.