Director, Engineering, BigQuery Platform

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year
  
  

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 15 years of professional experience in engineering leadership or related technical roles.
• Experience operating in an entrepreneurial environment, scaling new and emerging products from the ground up.
  
  

Preferred qualifications:

• 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.
  
  

About The Job

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

Responsibilities

• 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 BigQuery 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, AI, and agent development.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .