Google Cloud is seeking a Senior Staff Software Engineer to lead the Looker BI Modeling team, a strategic focus for the Looker product. This role presents an exciting opportunity to shape the future of data modeling and query processing at scale.
The position involves tackling complex challenges including defining the next generation of modeling for external consumption, developing model-aware database endpoints (Open SQL), implementing incremental modeling capabilities, and driving technical re-architecture initiatives to support future growth. As the Team Lead, you'll have significant impact on both the technical direction and strategic roadmap of a major GCP product.
The ideal candidate brings deep expertise in SQL compilers and query processing engines, combined with strong technical leadership experience. You'll work with cutting-edge technologies across distributed computing, large-scale system design, and data processing while leading a distributed team of engineers.
The role offers competitive compensation ($248,000-$349,000 base salary plus bonus, equity, and benefits) and the opportunity to work from several major tech hubs including Kirkland, Sunnyvale, or San Francisco. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, serving customers in over 200 countries.
Key responsibilities include providing technical leadership on high-impact projects, coaching engineers, ensuring alignment across teams, managing project deliverables, and architecting large-scale software solutions. The role requires both technical depth in compiler development and query processing, as well as the leadership skills to drive cross-functional initiatives in a complex organization.
This position offers the chance to make a lasting impact on how businesses interact with and analyze data, while working with some of the industry's brightest minds in a collaborative, innovation-focused environment. If you're passionate about building next-generation data processing systems and leading technical teams, this role provides an excellent opportunity to shape the future of business intelligence at scale.