Director, Data Engineering (AI Infrastructure)
Description For Director, Data Engineering (AI Infrastructure)
Meta is seeking a Director of Data Engineering for their AI Infrastructure team, offering a unique opportunity to work with one of the world's richest datasets and impact products used by billions. This leadership role combines technical expertise in data infrastructure with strategic vision, requiring 12+ years of experience in Analytics and BI.
The position involves leading and scaling a data engineering team of 20+ people, working at the intersection of AI and infrastructure. The role demands both technical depth in data architecture and strong leadership skills to drive innovation and efficiency. You'll collaborate with Product Managers, Data Scientists, Software Engineers, and ML Engineers to support Meta's world-class AI Infrastructure roadmap.
Key responsibilities include formulating data strategy, implementing robust data pipelines, ensuring data quality and privacy, and managing complex cross-functional relationships. The role requires expertise in SQL, object-oriented programming (Python/Java), and a solid understanding of experimentation methodologies. Experience with ML development lifecycle and large-scale infrastructure is highly valued.
The compensation package is competitive, ranging from $253,000 to $314,000 annually, plus bonus, equity, and comprehensive benefits. This is an in-person role based in Menlo Park, CA, offering the opportunity to work at Meta's headquarters.
The ideal candidate will combine technical expertise with strategic thinking, having a proven track record of leading large data teams and driving organizational change. They should be passionate about big data and excited about using data to drive product decisions that impact over a billion users daily.
This role offers the unique opportunity to work with cutting-edge technology, collaborate with some of the brightest minds in the industry, and directly influence Meta's AI infrastructure development. The position sits at the intersection of data engineering and AI, making it an exciting opportunity for someone looking to shape the future of technology at scale.
Responsibilities For Director, Data Engineering (AI Infrastructure)
- Formulate and implement vision for data and analytics to support Infrastructure org
- Drive technical and process innovation for Infrastructure data engineering
- Establish processes for data fidelity, privacy, reliability, and experimentation
- Manage and grow data engineering team
- Partner with cross-functional teams to understand and deliver on data needs
- Design and launch new data models and pipelines in production
- Define and manage SLAs for data sets and processes
- Drive data quality across product vertical
- Manage delivery of dashboards, data sets, and visualizations
- Contribute to improving data engineering competency across Facebook
Requirements For Director, Data Engineering (AI Infrastructure)
- 12+ years of experience in Analytics, BI and Data Warehousing
- Experience scaling and managing 20+ person teams and managing managers
- Experience leading in cross-functional environment
- Communication and leadership experience
- Data architecture experience
- Experience in SQL or similar languages
- Development experience in object-oriented language (Python, Java, etc.)
- Understanding of experimentation (A/B testing)
- BA/BS in Computer Science, Math, Physics, or other technical fields preferred
- Experience with ML development lifecycle preferred
- Experience with large scale infrastructure preferred
Benefits For Director, Data Engineering (AI Infrastructure)
- Competitive salary
- Bonus
- Equity
- Benefits package
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