Data Engineering Manager, Analytics (Facebook)
Bellevue, WA | Menlo Park, CA | Seattle, WA | New York, NY
Meta
Giving people the power to build community and bring the world closer together- 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.
- 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.
- 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
$173,000/year to $242,000/year + bonus + equity + benefits
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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Tags: Architecture Big Data Business Intelligence Computer Science Data pipelines Data quality Data visualization Data warehouse Data Warehousing Engineering Hadoop Java Mathematics PhD Physics Pipelines Python SQL VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.