Data Engineering Manager, Analytics
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Data Engineering Manager, Analytics Responsibilities
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
- 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.
- Manage development of data resources and support new product launches.
- 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.
- Requires a Bachelor's degree in Computer Science, Engineering, Information Technology, Analytics, or a related field and 24 months of experience in the job offered or in a related occupation.
- Experience must include 24 months involving the following:
- 1. BI and Data Warehousing
- 2. Scaling and managing Engineering teams
- 3. Communication and leadership, initiating and driving projects
- 4. Data architecture
- 5. SQL or similar languages and
- 6. Developing in Python or Perl.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Categories:
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Tags: Architecture Computer Science Data pipelines Data quality Data warehouse Data Warehousing Engineering Perl Physics Pipelines Python SQL VR
Perks/benefits: Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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