Principal Engineer, BigQuery Ops Analytics

Minimum qualifications:

• Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience
• 15 years of professional experience in engineering
• 12 years of experience working in operational analytics systems
• 10 years of experience working to develop product solutions

Preferred qualifications:

• 10 years of experience motivating others to act by creating a shared sense of vision or purpose, creates a compelling vision for the future, communicates clearly, and has a collaborative leadership approach
• Experience building and scaling distributed data processing systems and storage engines
• Experience influencing and working cross-functionally with senior leaders and multiple engineering and product management teams to drive product direction
• Experience with AI/ML contributions, particularly related to analytics for agents

About the job

BigQuery is Google's serverless data warehousing and analytics system for the world's largest and most critical workloads. BigQuery pioneered the model of a infinitely scalable, disaggregated storage model among cloud data warehouses, and continues to innovate to bring insights to datasets as fast as possible. Operational analytics is an area that BigQuery is only partially addressing and the vision is to make BigQuery the industry’s leading operational analytics platform.

As the Principal Engineer you will lead BigQuery’s strategic initiative to become the industry’s leading operational analytics platform. This is a critical role to ensure we continue to innovate in a hyper-competitive market. You will work across the entire BigQuery stack—including storage, streaming, query processing, search, and ML—to drive the technical vision and own the experience for key customers.

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.

The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Drive the technical vision and strategy to transform BigQuery into the industry-leading operational analytics platform.
• Work closely with our BigQuery Distinguished Engineer and other key leaders to influence the technical direction across all pillars of BigQuery, including storage, streaming, query processing, search, and more.
• Provide deep domain expertise and thought leadership in search, indexing, streaming, and real-time data processing to evolve the space and guide project decisions.
• Influence and align with a wide range of stakeholders across BigQuery, Cloud Logging, Cloud Trace, Cloud Metrics, and nascent teams in Agent Analytics (e.g. Vertex AI).
• Own the customer experience via deep engagement with customers and their needs and workloads to initiate the necessary projects for achieving the vision.