Data Engineering Leader for BI, Analytics & ML Infra

Meta

New York (NY)

On-site

USD 210,000 - 281,000

Full time

24 hours ago
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Job summary

Meta seeks a Data Engineering Leader for Analytics to drive high-impact dashboards and data warehousing initiatives across Monetization Capacity. You will partner with Data Scientists, Product Managers and Engineers to translate data needs into scalable pipelines and insights.

Lead cross-functional efforts, manage managers, and shape operational excellence with robust SLAs and reliability practices. The role demands strong data architecture, project leadership, and hands-on expertise in SQL and

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • 9+ years of experience in BI and Data Warehousing.
  • Experience scaling and managing 10+ person teams.
  • Experience managing managers.
  • Experience leading cross-functional initiatives and communicating technical strategy to engineering and business stakeholders.
  • Project management experience.
  • Data architecture experience.
  • Experience in SQL or similar languages.
  • Development experience in Python, Java, or similar languages.

Responsibilities

  • Manage the delivery of high impact dashboards and data visualizations.
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
  • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
  • Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
  • Build a high-quality BI and Data Warehousing team and design the team to scale.
  • 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.
  • Define and manage SLAs for all data sets and processes running in production.

Skills

BI and Data Warehousing
Managing 10+ people teams
Cross-functional collaboration
SQL
Python/Java

Education

Bachelor's degree in Computer Science/Computer Engineering or equivalent

Tools

Hadoop
Data Visualization tools

Job description

Meta seeks a Data Engineering Leader for Analytics to drive high-impact dashboards and data warehousing initiatives across Monetization Capacity. You will partner with Data Scientists, Product Managers and Engineers to translate data needs into scalable pipelines and insights.

Lead cross-functional efforts, manage managers, and shape operational excellence with robust SLAs and reliability practices. The role demands strong data architecture, project leadership, and hands-on expertise in SQL and

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