Director, Data Engineering (Instagram)

Menlo Park, CA

Do you like working with big data? Do you want to use data to help drive the direction of products that impact the lives of over one billion people every day? If yes, we want to talk to you. We’re looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs decisions and drives insight. In this role, you’ll see a direct link between your work, company growth, and user experiences. You’ll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and you’ll see your efforts affect products and people on a regular basis. The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling large data teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how Data Engineering can proactively improve companies.


  • Proactively formulate and implement the vision for the foundation for data and analytics to support the growth of Instagram products.
  • Drive technical and process innovation to increase the maturity and capability of Instagram’s data engineering team and practices.
  • Establish the processes needed to achieve operational excellence in data fidelity, data privacy, system reliability, and enabling rapid experimentation and data-informed decisions.
  • Manage and grow a high-quality data engineering team.
  • Partner with cross-functional teams of Data Scientists, Software Engineers, Product Managers, Researchers, and other partner groups to understand their data needs and deliver on them.
  • Drive the design, building, and launching of new data models and data pipelines in production.
  • Define and manage SLAs for all data sets and processes running in production.
  • Drive data quality across the product vertical and related business areas.
  • Manage the delivery of high-impact dashboards, data sets, and data visualizations.
  • Contribute to improving data engineering competency across Facebook.

Minimum Qualifications

  • 12+ years of experience in Analytics, BI and Data Warehousing.
  • Experience scaling and managing 20+ person teams and in managing managers.
  • Experience leading in a highly cross-functional environment, likely collaborating closely with Engineering, Product Management, and/or Data Science.
  • Communication and leadership experience, with experience initiating and driving large scale strategic initiatives.
  • Data architecture experience.
  • Experience in SQL or similar languages.
  • Development experience in at least one object-oriented language (Python, Java, etc.).
  • Solid understanding of how experimentation (A/B testing) works.

Preferred Qualifications

  • BA/BS in Computer Science, Math, Physics, or other technical fields.
  • Experience implementing privacy aware data foundations and solutions.
  • Experience with automating data auditing through comprehensive lineage tools.
  • Experience with large volume data sets, Hive/Presto, and data visualization tools.

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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