Data Engineering Manager – Analytics
| Company | Meta |
|---|---|
| Location | Seattle, WA, USA, Menlo Park, CA, USA, New York, NY, USA, Bellevue, WA, USA |
| Salary | $173000 – $242000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
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.
Responsibilities
- Proactively drive the vision for Business Intelligence 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 experience 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 Service Level Agreement for all data sets and processes running in production.
Preferred Qualifications
- Experience with Big Data, Hadoop, and Data visualization tools.
- Advanced degree (e.g.:, MS, PhD)
- Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management.
- Experience working with user facing Products.