1 day ago
Base Salary
$262k - $364k/yr
Responsibilities
- Direct the technical strategy and roadmap for BigQuery storage formats, including decisions around Capacitor and emerging open standards.
- Design storage-layer innovations supporting zero-copy column updates and additions, efficient random access, and integration with deep learning training pipelines.
- Partner with Dremel, BigLake, and GCS teams to integrate next-generation formats without regressing SQL concurrency.
- Steer Google’s technical direction and thought leadership in the open data lakehouse ecosystem.
- Lead technical and ROI evaluations of open-source formats and assess the engineering costs of Arrow-native execution in BigQuery pipelines.
Requirements
- 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 specialized file formats such as Vortex, Lance, Nimble, or FastLanes.
- Experience with vector search, retrieval-augmented generation storage layers, and multimodal data.
- Strong understanding of machine learning data pipelines, including PyTorch and TensorFlow data consumption and AI-training I/O bottlenecks.
- History of successful contributions to major open-source data projects such as Apache Arrow, Parquet, or Iceberg.
Benefits
- US base salary is listed as $262000–$364000, with a 25% bonus target, equity, and benefits.
- Benefits information is available through Google’s benefits resource.
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.