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, Software Engineers and ML Engineers to support our world class AI Infra roadmap 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. Experience In AI and the ML lifecycle is a plus.

Director, Data Engineering Responsibilities:

• Proactively formulate and implement the vision for the foundation for data and analytics to support theInfrastructure org and its goals.
• Drive technical and process innovation to increase the maturity and capability of Infrastructure 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 with ML development lifecycle
• Experience working on large scale infrastructure
• Experience with automating data auditing through comprehensive lineage tools.
• Experience with large volume data sets, Hive/Presto, and data visualization tools.

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.