Tech Lead, BigQuery Multimodal Strategy and Architecture

• Own the end-to-end technical strategy for BigQuery's storage formats. Determine the roadmap for our existing proprietary formats (Capacitor) versus adopting or contributing to emerging open standards (Vortex, Lance, BtrBlocks).
• Design storage layer innovations that unlock zero-copy column updates/additions, extremely efficient random access, and seamless integration with deep learning training pipelines.
• Partner with Dremel, BigLake, and GCS teams to ensure our execution engine seamlessly adopts next-generation formats without regressing SQL concurrency.
• Position Google as a thought leader in the open data lakehouse ecosystem, steering the direction of the formats that will define the next decade of data infrastructure.
• Lead technical and ROI evaluations of open-source formats. Determine engineering costs to integrate Arrow-native execution with BigQuery pipelines for wide tables and multimodal AI.

Minimum qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 5 years of experience in software development, with experience in C++ or Go.
• 3 years of experience designing and optimizing distributed systems, storage architectures, or database internals (columnar storage formats, serialization, or query execution engines).

Preferred qualifications:

• Experience with next-generation or specialized file formats like Vortex, Lance, Nimble, or FastLanes.
• Experience with vector search (ANN) and building storage layers optimized for retrieval-augmented generation (RAG) and multimodal data.
• Strong understanding of modern machine learning data pipelines, including how PyTorch/TensorFlow consume data and the I/O bottlenecks of AI training.
• History of successful contributions to major open-source data projects (e.g., Apache Arrow, Parquet, Iceberg).

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 5 years of experience in software development, with experience in C++ or Go.
• 3 years of experience designing and optimizing distributed systems, storage architectures, or database internals (columnar storage formats, serialization, or query execution engines).