Data Engineering Manager, Analytics

Meta builds technologies that help people connect, find communities, and grow businesses.
Data
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS
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Description For Data Engineering Manager, Analytics

Meta is seeking a Data Engineering Manager for Analytics to lead their BI and Data Warehousing team. This role involves driving the vision for BI across product verticals, building high-quality teams, and working closely with cross-functional partners. The ideal candidate will have 8+ years of experience in BI and Data Warehousing, strong leadership skills, and technical expertise in SQL and object-oriented programming.

As a Data Engineering Manager, you'll be responsible for:

  1. Developing and executing BI and Data Warehousing strategies
  2. Defining processes for operational excellence
  3. Building and scaling high-performing teams
  4. Managing data warehouse plans and driving data quality
  5. Designing and implementing new data models and pipelines
  6. Delivering impactful dashboards and visualizations
  7. Setting and managing SLAs for data sets and processes

You'll work with cutting-edge technology and one of the world's richest data sets, directly impacting products used by over 1 billion people daily. This role offers the opportunity to see a clear link between your work, company growth, and user satisfaction.

Meta offers a dynamic work environment, collaborating with some of the brightest minds in the industry. They're committed to building technologies that help people connect, find communities, and grow businesses, including ventures into augmented and virtual reality.

If you're passionate about using data to drive product direction and have a strong background in data engineering and team leadership, this role at Meta could be your next career-defining opportunity.

Last updated 7 months ago

Responsibilities For Data Engineering Manager, Analytics

  • Proactively drive the vision for BI and Data Warehousing across a product vertical
  • Define processes for operational excellence 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 SLA's for all data sets and processes running in production

Requirements For Data Engineering Manager, Analytics

Python
Java
  • 8+ years of experience in BI and Data Warehousing
  • Experience scaling and managing 3+ person teams
  • Communication and leadership experience, with experience initiating and driving projects
  • Project management experience
  • Data architecture experience
  • Experience in SQL or similar languages
  • Development experience in at least one object-oriented language (Python, Java, etc.)
  • BA/BS in Computer Science, Math, Physics, or other technical fields

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