Data Engineering Manager, Analytics

Meta builds technologies that help people connect, find communities, and grow businesses.
$173,000 - $242,000
Data
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Data Engineering Manager, Analytics

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.

The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies.

Responsibilities:

  • Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
  • Define the processes needed to achieve operational excellence in all areas, including 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 to understand data needs and deliver on those needs.
  • 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.

Join Meta and help shape the future of social technology beyond the constraints of screens, distance, and even the rules of physics.

Last updated 4 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 and scale a high-quality BI and Data Warehousing team
  • Build cross-functional relationships to understand and deliver on data needs
  • Manage data warehouse plans across a product vertical
  • Drive design, building, and launching of new data models and pipelines
  • Drive data quality across the product vertical
  • Manage delivery of high impact dashboards and data visualizations
  • Define and manage SLA's for data sets and processes

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

Benefits For Data Engineering Manager, Analytics

Equity
Medical Insurance
Dental Insurance
Vision Insurance
  • Bonus
  • Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

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