Data Engineering Manager, Analytics (Facebook)

Job Description

About the Role

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, there will be 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.

Key Responsibilities

Work closely with Product Managers, Data Scientists, and Software Engineers to support product launches and roadmaps.
Build and maintain data architecture that informs and drives insight.
Communicate results of analysis to executive leadership.
Initiate and complete BI, data warehousing, and analytical projects with minimal guidance.
Manage and scale analytics teams of 3 or more people.
Collaborate on cross-functional teams including Data Engineering, Data Science, Software Engineering, and Product Management.

Requirements

A minimum of 4 years of work experience in applied analytics, including at least 2 years with a Ph.D.
Minimum of 2 years of experience managing analytics teams.
8+ years of experience in BI and Data Warehousing.
Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields.
Experience initiating and completing BI, data warehousing, and analytical projects with minimal guidance.
Experience communicating results of analysis to executive leadership.
Project management experience.
Data architecture experience.
Experience with data querying languages (e.g., SQL).
Development experience in at least one object-oriented language (Python, Java, etc.).
Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management.
Experience working with user-facing products.
Experience with Big Data, Hadoop, and Data visualization tools.

Nice to Have

Advanced degree (e.g., Master of Science, PhD).

Qualifications

Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields.
Advanced degree (e.g., Master of Science, PhD).

Working at Meta

Work with some of the brightest minds in the industry, use cutting edge technology, and see your efforts affect products and people on a regular basis.

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