Director, Engineering, BigQuery Platform

Director, Engineering, Big Query Platform

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• PhD in Computer Science.
• Experience bringing innovative, industry-leading, category-defining tech products to market.
• Experience working with executive-level internal and external clients and partners, acting as a representative of the company.
• Experience with enterprise security and high scale distributed systems.
• Ability to work cross-functionally, partnering with groups (e.g., product management, product marketing, UX, and UI), brokering trade offs with stakeholders, and understanding their needs.
• Excellent narrative and storytelling abilities, communication skills, and presentation skills.

As the Director of Engineering, you will be responsible for leading teams of engineers in the development and delivery of Big Query engineering, security and multi-tenancy infrastructure. You will work closely with product managers, designers, and other stakeholders to ensure that Big Query is used to its full potential to create innovative features for Big Query reliability and securely while optimizing engineering velocity.

You will use AI and agents to accelerate development of Big Query and its infrastructure.

In this role, you will set and communicate a clear technical direction that supports our business goals, drive standards for engineering excellence that lead to scale and customer satisfaction, and effectively collaborate with other leaders across various functions and execution areas. As Google Cloud embraces differences of opinion and a culture of respect, you will be able to mentor other leaders and individual contributors and become a great cultural addition.

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.

• Lead several teams covering the whole spectrum of infrastructure for data analytics across the spectrum of multi-tenancy, security, quality, and velocity.
• Work with other engineering stakeholders to develop an AI base to ensure Big Query service infrastructure and engineering infrastructure improves security, reliability, and velocity.
• Work closely with product management to define the product roadmap, in collaboration with Google Cloud and broader Google teams.
• Stay up-to-date on the latest trends in data analytics, security, Artificial Intelligence (AI) and agent development.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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