Director, Data Engineering (WhatsApp)

Meta builds technologies that help people connect, find communities, and grow businesses through social platforms and immersive experiences.
$253,000 - $314,000
Data
Principal Software Engineer
In-Person
5,000+ Employees
12+ years of experience
AI · Enterprise SaaS

Description For Director, Data Engineering (WhatsApp)

Meta is seeking a Director of Data Engineering for WhatsApp to lead and shape the future of data infrastructure that powers one of the world's most widely used messaging platforms. This role presents a unique opportunity to work with one of the richest datasets globally, directly impacting over a billion users daily.

The position combines technical leadership with strategic vision, requiring someone who can both architect sophisticated data solutions and lead a substantial team. You'll be responsible for building and maintaining the data foundation that supports Meta's world-class AI infrastructure, working at a scale few companies can match.

As the Director, you'll collaborate with an diverse array of talented professionals, including Product Managers, Data Scientists, Software Engineers, and ML Engineers. Your work will directly influence product decisions and user experiences through data-driven insights and infrastructure improvements.

The role demands a blend of technical expertise in data engineering, leadership acumen, and strategic thinking. You'll be expected to drive innovation in data architecture, establish robust data governance processes, and foster a culture of engineering excellence within your team of 20+ professionals.

Key aspects of the role include:

  • Leading the technical vision for WhatsApp's data infrastructure
  • Managing and developing a large team of data engineering professionals
  • Establishing best practices for data quality, privacy, and reliability
  • Partnering with AI and ML teams to support advanced analytics initiatives
  • Driving the implementation of sophisticated data pipelines and models

The position offers competitive compensation ($253,000-$314,000/year) plus bonus and equity, reflecting the senior nature of the role. Meta provides comprehensive benefits and the opportunity to work on technology that impacts billions of users.

This is an ideal role for an experienced data engineering leader who wants to work at massive scale, drive technical innovation, and lead a team at one of the world's most influential technology companies. The position offers the chance to shape the future of data infrastructure while working with cutting-edge technology and exceptional talent.

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Responsibilities For Director, Data Engineering (WhatsApp)

  • Formulate and implement vision for data and analytics foundation
  • Drive technical and process innovation for Infrastructure data engineering
  • Establish processes for data fidelity, privacy, system reliability, and experimentation
  • Manage and grow a high-quality data engineering team
  • Partner with cross-functional teams to understand and deliver on data needs
  • Design, build, 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 high-impact dashboards and visualizations
  • Contribute to improving data engineering competency across Facebook

Requirements For Director, Data Engineering (WhatsApp)

Python
Java
  • 12+ years of experience in Analytics, BI and Data Warehousing
  • Experience scaling and managing 20+ person teams and managing managers
  • Experience leading in highly cross-functional environment
  • Communication and leadership experience with large scale strategic initiatives
  • Data architecture experience
  • Experience in SQL or similar languages
  • Development experience in object-oriented language (Python, Java, etc.)
  • Solid 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
  • Experience with data auditing and lineage tools preferred
  • Experience with large volume data sets, Hive/Presto, and data visualization tools preferred

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