Data Engineering Manager, Analytics
Description:
Meta is seeking 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.
Responsibilities:
Data Engineering Manager, Analytics Responsibilities:
Drive the mission and strategy for Business Intelligence and Data Warehousing across a product vertical
Build and lead a high-quality BI and Data Warehousing team, designing it to scale
Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
Manage data warehouse plans, drive data quality, and ensure operational efficiency
Design, build, and launch new data models and pipelines in production
Deliver high-impact dashboards and data visualizations
Define and manage Service Level Agreements for all data sets and processes running in production
Demonstrated operational skills to drive efficiency and speed
Qualification and experience:
Minimum Qualifications:
8 + years of experience in Business Intelligence and Data Warehousing
Experience scaling and managing teams with 3 or more individuals
Communication and leadership experience, with experience initiating and driving projects
Project management experience
Data infrastructure and 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
Preferred:
Preferred Qualifications:
Experience in a consumer web or mobile company
Advanced degree
Experience with data sets, Hadoop, and data visualization tools