Head of YouTube Business Data Engineering

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in working with data infrastructure and data models by performing exploratory queries and scripts.
• 10 years of experience in designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks.
• 5 years of experience with coding in one or more programming languages, and in a people management, supervision, or team leadership role.
  
  

Preferred qualifications:

• Master’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math).
• Experience with data warehouses, distributed data platforms, and data lakes.
• Ability to work in a changing environment with multiple stakeholders.
• Excellent thinking skills, with the ability to break down multi-dimensional problems.
• Excellent business and technical communication, organizational, and problem-solving skills.
  
  

About the jobThe YouTube Business Strategy and Operations team is responsible for driving all go-to-market functions for the YouTube Business Organization including strategy and business operations, analytics and data science, partnership enablement, and product activation. The team shapes go-to-market priorities to accelerate growth and resource the business accordingly, enhancing skills and capabilities to support execution of business priorities, driving efficiency across business operations, and building excellent go-to-market infrastructure (e.g., data, reports, dashboards).At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

• Lead data engineering and infrastructure projects for YouTube. Build a goals, strategy, and roadmap.
• Build data engineering and data infrastructure team from the ground up.
• Conduct requirements gathering and project scoping sessions with executive stakeholders, subject matter experts and business users to discover and define business data needs. Drive the standards in data reliability, data integrity, and data governance.
• Engage with the analyst community, communicate with analysts to understand user journeys and data sourcing inefficiencies, advocate best practices, and lead analyst trainings.
• Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users to enable data-motivated decision-making.
  
  
  

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 .