Director, Data Engineering (WhatsApp)

Meta is seeking a Director of Data Engineering for WhatsApp to lead and scale their data infrastructure initiatives. This role sits at the intersection of big data and product development, supporting Meta's world-class AI infrastructure through sophisticated data architecture that drives insights and decisions.

The position offers a unique opportunity to work with one of the world's richest datasets and impact products used by over a billion people daily. The ideal candidate will lead a team of 20+ engineers while working closely with Product Managers, Data Scientists, Software Engineers, and ML Engineers to build and maintain critical data systems.

Key responsibilities include developing the strategic vision for WhatsApp's data architecture, driving technical innovation in data engineering practices, and ensuring operational excellence in data fidelity, privacy, and system reliability. The role requires strong leadership skills to grow and manage high-performing teams, plus technical expertise in data infrastructure, analytics, and business intelligence.

The position demands 12+ years of experience in analytics and data warehousing, with a proven track record of scaling large data teams and driving strategic initiatives. Technical requirements include proficiency in SQL, object-oriented programming (Python/Java), and a solid understanding of experimentation frameworks. Experience with ML development lifecycle and large-scale infrastructure is highly valued.

Meta offers a competitive compensation package ranging from $253,000 to $314,000 annually, plus bonus, equity, and comprehensive benefits. This is an opportunity to shape the future of data engineering at one of the world's most influential technology companies, working with cutting-edge technology and exceptional talent while seeing your impact on products used globally.

The role is based in Menlo Park, CA, and offers the chance to work in Meta's dynamic environment where innovation and technical excellence are core values. If you're passionate about big data, have strong technical and leadership skills, and want to make an impact at scale, this role presents an exceptional opportunity to advance your career while contributing to products that connect billions of people worldwide.