Data Warehouse Architect

Pinterest, San Francisco, CA, US

Visual discovery destination

About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

As a data warehouse architect on the core data team you'll provide intelligence to the rest of the company that will enable making better product decisions. You'll make use of the latest advances in large scale data processing to uncover insights in data. You’ll work on building critical data warehouse tables with a world-class team of engineers towards the mission of enabling data-driven products and insights at Pinterest.

What you’ll do:

  • Work with cross functional stakeholders to design and architect data warehouse and analytics solutions
  • Build robust data pipelines that collect, process, and compute business metrics from activity data using Spark, Hive, SparkSQL
  • Create critical datasets for machine learning, growth funnels, business forecasting, and many other strategic initiatives
  • Work with business analysts and data engineers to build new analysis tools and metrics for measuring product engagement

What we're looking for:

  • Minimum 5 years of industry experience
  • Degree in computer science or a relevant quantitative field
  • Proficient in Python/Scala/Java
  • Extensive experience with one or more of the following frameworks: Spark, SparkSQL, Hadoop.


About Pinterest

Pinterest is full of possibilities to design your life. Discover recipes, style inspiration, projects for your home and other ideas to try. 

Want to learn more about Pinterest? Visit Pinterest's website.