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Data Engineering Manager, Analytics (Reality Labs)

Meta

$173,000 - $242,000
Nov 4, 2025
Burlingame, CA, US
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Meta is looking for a leader in their Data Engineering team to build the data architecture that informs and drives insight, directly linking their work to company growth and user satisfaction. They aim to support product launches and roadmaps by leveraging rich data sets and cutting-edge technology.

Requirements

  • 8+ years of experience in BI and Data Warehousing
  • Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
  • Data architecture experience
  • Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
  • Experience with data sets, Hadoop, and data visualization tools
  • Experience in analytics for a device / consumer electronics company

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
  • 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

Other

  • 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
  • Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
  • Experience communicating results of analysis to executive leadership
  • Project management experience
  • 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
  • Advanced degree