Data Engineering Leader, Analytics (AI Solutions & Automation and Ops Data Infra)
Description For Data Engineering Leader, Analytics (AI Solutions & Automation and Ops Data Infra)
Meta is seeking a Data Engineering Leader to spearhead their Analytics team focusing on AI Solutions, Automation, and Ops Data Infrastructure. This role presents an extraordinary opportunity to work with one of the world's largest datasets, directly impacting products used by over 1 billion people daily. The position combines technical leadership with strategic vision, requiring expertise in data architecture, team management, and operational excellence.
The ideal candidate will lead a team responsible for building and maintaining critical data infrastructure that drives product decisions and business growth. They will work alongside top industry talent, utilizing cutting-edge technology to transform raw data into actionable insights. The role demands both technical depth in data engineering and the ability to scale and manage teams effectively.
This position offers competitive compensation ranging from $206,000 to $281,000 annually, plus bonus and equity opportunities. The role is based in Bellevue, WA, with Meta's comprehensive benefits package. The company's commitment to pushing technological boundaries, especially in AI and automation, makes this an exciting opportunity for someone passionate about data engineering at scale.
As a leader in Meta's data infrastructure, you'll have the unique opportunity to shape the future of how data is used across Meta's family of apps and technologies, including Facebook, Instagram, WhatsApp, and their emerging virtual reality platforms. This role combines technical expertise with strategic leadership, making it perfect for someone who wants to make a significant impact at one of tech's most influential companies.
Responsibilities For Data Engineering Leader, Analytics (AI Solutions & Automation and Ops Data Infra)
- Proactively drive the strategy for Business Intelligence and Data Warehousing across a product vertical
- Define processes for operational rigor in project management and system reliability
- Build a high-quality BI and Data Warehousing team and design the team to scale
- Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers
- Manage data warehouse plans across a product vertical
- Drive the design, building, and launching of new data models and data pipelines in production
- Drive data quality across the product vertical and related business areas
- Manage the delivery of high impact dashboards and data visualizations
- Define and manage Service Level Agreements for all data sets and processes
Requirements For Data Engineering Leader, Analytics (AI Solutions & Automation and Ops Data Infra)
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 10+ years of experience in BI and Data Warehousing
- 2+ years of experience managing managers
- Experience scaling and managing 10+ person teams
- Communication and leadership experience
- Project management experience
- Data architecture experience
- Experience in SQL or similar languages
- Development experience in at least one object-oriented language (Python, Java, etc.)
Benefits For Data Engineering Leader, Analytics (AI Solutions & Automation and Ops Data Infra)
- bonus
- equity
- benefits package
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