Meta is looking to solve the problem of building the data architecture that informs and drives insight to support product launches and roadmaps by hiring a Data Engineering Manager, Analytics (Central Products)
Requirements
- Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
- Data architecture experience
- Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
- Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
- Experience scaling and managing teams with experience scaling and managing 3+ person teams
- Experience in BI and Data Warehousing
- Experience communicating results of analysis to executive leadership
Responsibilities
- Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
- Build and lead a high-quality BI and Data Warehousing team, designing it to scale
- Design, build, and launch new data models and pipelines in production
- Deliver high-impact dashboards and data visualizations
- Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
- Manage data warehouse plans, drive data quality, and ensure operational efficiency
- Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
Other
- A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
- Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
- Project management experience
- 2+ years of experience managing people with experience scaling and managing 3+ person teams
- Travel requirements not specified
