Data Engineering Manager, Analytics

$165,000 - $232,000/Yr

Meta - Lansing, MI

Full-time - Mid Level

Lansing, MI

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About the position

The Data Engineering Manager, Analytics role at Meta involves leading a team to build and manage data architecture that supports product launches and insights for a user base of over 1 billion people. The position requires collaboration with Product Managers, Data Scientists, and Software Engineers to ensure data needs are met and to drive operational excellence in business intelligence (BI) and data warehousing. The successful candidate will have a strong vision for BI, operational skills, and experience in managing and scaling teams.

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.

Requirements

• 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.

Nice-to-haves

• Experience in a consumer web or mobile company.
• Experience with data sets, Hadoop, and data visualization tools.
• Advanced degree.

Benefits

• Bonus
• Equity
• Health benefits