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Data Engineering Manager, Analytics (Central Products)

Meta
Menlo Park, CA Full-time 12/10/2025 $173k - $242k per year
Undergraduate with 5+ Years of ExperienceMaster's with 2+ Years of Experience

Job Description

Meta is seeking a Data Engineering Manager to lead the Business Intelligence and Data Warehousing team. This role involves collaborating with cross-functional teams to build data architecture that supports product launches and enhances user satisfaction, while managing data quality and operational efficiency.

Requirements

  • A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
  • 8+ years of experience in BI and Data Warehousing
  • Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
  • Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
  • Experience communicating results of analysis to executive leadership
  • Project management experience
  • Data architecture experience
  • Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
  • 2+ years of experience managing people with experience scaling and managing 3+ person teams
  • Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management

Responsibilities

  • Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
  • Build and lead a high-quality BI and Data Warehousing team, designing it to scale
  • Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
  • Manage data warehouse plans, drive data quality, and ensure operational efficiency
  • Design, build, and launch new data models and pipelines in production
  • Deliver high-impact dashboards and data visualizations
  • Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
  • Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies

Benefits

  • Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.