The Tech Lead for BigQuery Multimodal Strategy and Architecture will oversee the technical strategy and architectural design for BigQuery's file formats. This role is crucial as it adapts to industry shifts towards next-generation columnar formats and multimodal data. The position requires deep expertise in distributed systems and storage architectures. The Tech Lead will also position Google as a thought leader in the open data lakehouse ecosystem.

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 8 years of experience designing and optimizing distributed systems, storage architectures, or database internals.
• Experience with next-generation or specialized file formats like Vortex, Lance, Nimble, or FastLanes.
• Strong understanding of modern machine learning data pipelines.

• Direct the end-to-end technical strategy for BigQuery's storage formats.
• Design storage layer innovations that unlock zero-copy column updates and extremely efficient random access.
• Partner with Dremel, BigLake, and GCS teams to ensure seamless adoption of next-generation formats.
• Lead technical evaluations of open-source formats and assess engineering costs for integration.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.