Help customers succeed with BigLake by developing and enhancing scalable catalog APIs, advancing open standards, and shaping reliable data lake house solutions that delight major Google Cloud customers.
Requirements
Experience with the following: C++, Java, and Performance Optimization.
Experience in one or more of the following areas such as Database Internals, Open Source Contributor, Apache Iceberg, Apache Spark, Presto.
Experience working within the open data processing ecosystem (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.
Experience owning performance work streams.
Responsibilities
Drive project work across Google's production environment, the open-source Apache Iceberg ecosystem, and open-source data processing engines such as Apache Spark and Trino.
Lead execution of projects spanning multiple quarters and engineers, influencing products within Data Cloud such as BigQuery, Dataproc, Dataflow, and others.
Design, implement, test, and review new BigLake features while contributing to Google Cloud's overall engineering goal and Apache Iceberg roadmap, ensure quality, engineering excellence, and operational stability of BigQuery and BigLake.
develop and enhance scalable catalog APIs
advancing open standards
shaping reliable data lake house solutions
Other
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development.
3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
1 year of experience in a technical leadership role.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
