Translation and Lineage Engineer Manager, BigQuery SQL

Minimum qualifications:

• Bachelor’s degree, or equivalent practical experience.
  
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision or team leadership role
  
• Experience with one or more of the following: Databases, SQL, compilers
• Experience with programming in Java or C++
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 3 years of experience working in an organization.
  
• Experience with data warehousing
  

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Google Cloud BigQuery is the fastest growing database platform in the cloud. The BigQuery Migration Service migrates users to BigQuery by translating SQL from over a dozen other SQL databases into BigQuery SQL using the industry's leading semantic compiler engine. We are extending the SQL engine with broader SQL coverage, integrating Google's latest AI LLM models, analysis and lineage of SQL workloads, optimizing Structured Query Language (SQL) rewrites for high performance with the BigQuery engine, and improving the usability and automated migration capabilities of the service.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.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

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  
• Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  
• Develop the mid-term technical insight and roadmap within the scope of your team. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  
• Analyze SQL problems and develop solutions including new engine improvements such as new semantic parsers, transformers, and emitters.
  
• Integrate AI LLMs into the engine and service.