Google Cloud's BigLake aims to create a unified managed catalog for all of GCP, providing open-source compatibility and transparent first-party integration with GCP's data analytics tools. This role will shape the architecture and future of BigQuery's metadata management capabilities.
Requirements
- Experience with distributed computing, big data analytics, cloud computing, multi-tenant cloud, or AI.
- Experience with Data Analytics ecosystem (e.g., Iceberg, Spark, Flink, Pandas, Arrow).
- Experience using Java or Python in data analytics.
Responsibilities
- Develop features for open source Iceberg client libraries.
- Update use of such client libraries within Google.
- Design or influence features in the OSS community which are of interest to BigQuery.
- Work with BigQuery teams to help align design or feature semantics of BigQuery features which overlap with Iceberg/Parquet/Polaris.
Other
- Sunnyvale, CA, USA; Kirkland, WA, USA; Seattle, WA, USA
- Bachelor's degree or equivalent practical experience.
- 8 years of experience participating in technical/developer communities, open source projects, or other developer community groups, and as an open source contributor.
- We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- We collaborate closely with partner teams like Dataplex and Dataproc.
