Job description

BigQuery is Google's serverless data warehousing and analytics system for large and critical analytical workloads. BigQuery has pioneered the serverless query execution model among cloud datawarehouses and continues to innovate to bring insights to massive datasets as fast as possible. We're building the next generation of analytics, adding a rich set of features into the BigQuery engine, and inventing new ways to make the BigQuery engine to scale to large data volumes at lowest latency to meet the demanding customer scenarios. This role encompasses a broad range of scenarios involving storage, data lakes, query processing, advanced analytics, ML, and much more. You will bring expereienced database product sensibility to help align our internal development with Cloud ecosystem compatibility aspirations. As the Distinguished Engineer, you will be leading the technical long-term strategy for our team and working closely with our engineers to see it through, while setting high technical excellence in everything we do. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $364000 - $505000 (USD) + 40% bonus target + equity + benefits Learn more about benefits at Google . • Oversee and steer all the engineering projects in multiple locations as well as drive cross-functional engineering decisions across the BigQuery sites to deliver a data warehouse in BigQuery. • Provide domain expertise and engineering insight to guide early designs, accelerate project decision making and maintain close oversight of technical execution and proactively adjusting course where necessary. • Drive the improvements needed in the storage and query systems, including fundamental rethinking and rearchitecting of several aspects to build the next leap of innovation in analytics. • Partner with engineering and product management teams to drive product direction. Travel to work with engineering teams and broader leadership both within BigQuery and broadly across Google. • Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience. • 15 years of experience in engineering with experience in technical innovation. • 10 years of database experience with data processing engines and systems. Minimum qualifications: • Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience. • 15 years of experience in engineering with experience in technical innovation. • 10 years of database experience with data processing engines and systems. Preferred qualifications: • Experience building SQL based transaction processing systems (e.g. OLTP) or larger scale analytics (e.g. OLAP). • Experience with high availability designs, parallel/horizontal scale-out database architectures, and cloud services. • Experience promoting product excellence and collaboration, driving a portfolio of concurrent engineering projects ranging from short-term critical feature launches to long-term research initiatives. • Experience motivating others to act by creating a shared sense of outlook or purpose, creating a compelling roadmap for the future, and communicating clearly, with a collaborative leadership approach. • Passionate about delighting enterprise customers, and an excellent understanding of enterprise workloads.

Requirements

Must-haves

As the Distinguished Engineer, you will be leading the technical long-term strategy for our team and working closely with our engineers to see it through, while setting high technical excellence in everything we do.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Oversee and steer all the engineering projects in multiple locations as well as drive cross-functional engineering decisions across the BigQuery sites to deliver a data warehouse in BigQuery.
Provide domain expertise and engineering insight to guide early designs, accelerate project decision making and maintain close oversight of technical execution and proactively adjusting course where necessary.
Drive the improvements needed in the storage and query systems, including fundamental rethinking and rearchitecting of several aspects to build the next leap of innovation in analytics.
Partner with engineering and product management teams to drive product direction. Travel to work with engineering teams and broader leadership both within BigQuery and broadly across Google.
Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.
15 years of experience in engineering with experience in technical innovation.
10 years of database experience with data processing engines and systems.
Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.
15 years of experience in engineering with experience in technical innovation.
10 years of database experience with data processing engines and systems.

Nice-to-haves

US: $364000 - $505000 (USD) + 40% bonus target + equity + benefits
Experience building SQL based transaction processing systems (e.g. OLTP) or larger scale analytics (e.g. OLAP).
Experience with high availability designs, parallel/horizontal scale-out database architectures, and cloud services.
Experience promoting product excellence and collaboration, driving a portfolio of concurrent engineering projects ranging from short-term critical feature launches to long-term research initiatives.
Experience motivating others to act by creating a shared sense of outlook or purpose, creating a compelling roadmap for the future, and communicating clearly, with a collaborative leadership approach.
Passionate about delighting enterprise customers, and an excellent understanding of enterprise workloads.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlsql

Platform: google
Effort: medium