Director, Data Engineering - Menlo Park, United States - Meta

Description

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 datainformed decisions.
Manage and grow a highquality data engineering team.
Partner with crossfunctional 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 highimpact 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 crossfunctional 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 objectoriented 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.