Data Engineering Manager – Analytics – Core Growth
Company | Meta |
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Location | Menlo Park, CA, USA |
Salary | $173000 – $242000 |
Type | Full-Time |
Degrees | Bachelor’s, Master’s, PhD |
Experience Level | Senior, Expert or higher |
Requirements
- 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
- 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/or 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) and development experience in at least one object-oriented language (Python, Java, etc.)
- 2+ years of experience managing people with experience scaling and managing 3+ person teams
- Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
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
- 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 (SLAs) for all data sets and processes running in production
- Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
Preferred Qualifications
- Experience in a consumer web or mobile company
- Advanced Degree in Computer Science, Math, Physics, or other technical fields
- Experience scaling and managing teams with 5 or more individuals