Engineering Manager, Big Data Platform

We're looking for a hands-on engineering manager to lead and grow our big data platform team. This team focuses on building reliable, scalable and performant infrastructure to enable large scale data processing. As we are set to become the world's discovery engine, processing data at large scale is mission-critical. This is an opportunity to build foundational pieces of infrastructure to scale for hundreds of petabytes of data and help hundreds of millions of people discover and do what they love.

What you'll do:

  • Build, own, and improve petabytes-scale data processing frameworks and infrastructure
  • Work with engineers and technical program managers to define technical strategy and roadmap
  • Collaborate with cross-functional product and engineering teams to understand changing requirements and incorporate them in the roadmap.
  • Define and own success metrics for projects and drive execution to ensure timely and high quality delivery.
  • Mentor and guide the professional and technical development of team members.
  • Scale the team through both recruiting efforts and growth of internal talents

What we're looking for:

  • Over 5 years of experience building and evolving big data systems in production using hadoop and spark
  • 5+ years leading a 10+ person engineering team
  • Strong infrastructure vision and ability to set a clear technical strategy
  • Ability to communicate effectively across engineering, product, and leadership to drive hard decisions
  • AWS experience a plus

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Pinterest’s mission is to help people discover and do what they love. Using Pinterest makes people feel more inspired, optimistic, and creative—that’s why it’s one of the world’s most beloved brands, with over 200 million monthly active Pinners. Pinterest is a place where people are encouraged to be themselves, and employees who work there are able to spark their creativity, try new things, and build their confidence as a leader, thinker, and doer.


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