Data Engineering Manager, Analytics
4 weeks ago
Meta Inc is seeking a highly skilled Data Engineering Manager, Analytics to lead our Data Engineering team in driving the vision for Business Intelligence (BI) and Data Warehousing across a product vertical. The ideal candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, and experience in SQL or similar languages.
Key Responsibilities- Proactively drive the vision for BI 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 excellence 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 SLA's for all data sets and processes running in production.
- 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.).
- Experience in a consumer web or mobile company.
- Experience with data sets, Hadoop, and data visualization tools.
- Advanced degree.
$173,000/year to $242,000/year + bonus + equity + benefits
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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