Google's BigLake team aims to evolve BigQuery into the world's best data lake house platform, addressing the need for interoperable data and AI workloads with high performance and low cost by leveraging open standards like Apache Iceberg. The role involves helping customers succeed with BigLake, a solution spanning catalog APIs, storage management, data governance, and more, to enable digital transformation for organizations.
Requirements
- 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture
- Experience with both C++ and Performance Analysis
- Experience in one or more of the following areas such as Java, Performance Optimization, Database Internals, Open Source Contributor, Apache Spark, Apache Iceberg, Presto
- Experience working within the open data processing ecosystem (e.g., Apache Iceberg or other open table formats, or with Apache Spark, Trino, or other data processing engines)
- Experience with both Google's production environment and open-source development workflows
- 2 years of experience with data structures or algorithms
Responsibilities
- Design, implement, test, and review new BigLake features
- Ensure the quality, engineering excellence, and operational stability of BigQuery and BigLake
- Encompass Google's production environment, the open-source Apache Iceberg ecosystem, and open-source data processing engines such as Apache Spark and Trino
- Work on a specific project critical to Google’s needs with opportunities to switch teams and projects
- Develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another
- Handle information at massive scale, and extend well beyond web search
- Push technology forward
Other
- Help customers succeed with BigLake
- Lead execution of projects spanning multiple quarters and collaborate with peers from multiple products within Data Cloud BigQuery, Dataproc, Dataflow, and others
- Be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack
- Interested in working on open standards and delighting major Google Cloud customers
- Preferred working location from: Seattle, WA, USA; Kirkland, WA, USA
