Data Engineering Leader, Analytics (Instagram)
Job Description
We are seeking a Data Engineering leader to drive the direction of products that impact over 1 billion people daily. As a key member of our team, you will work closely with cross-functional partners to build data architecture that informs and drives insight, supporting key decision making and investment. You will have the opportunity to work with some of the brightest minds in the industry, utilize cutting-edge technology, and observe your efforts directly impact company growth and user satisfaction. Responsibilities include: Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it; Build and scale a high-quality BI and Data Warehousing team; Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs; Lead data warehouse plans and ensure alignment with product vertical goals; Lead the design, building, and launching of new data models and pipelines in production; Ensure data quality across the product vertical and related business areas; Manage the delivery of impactful dashboards and data visualizations; Define and manage SLAs for all data sets and processes in production. Possess in depth data infrastructure and architecture skills, a proven track record of leading and scaling data engineering teams, operational expertise, project management leadership, and a vision for how data engineering can proactively improve companies. Define processes to achieve operational efficiency, including project management and system reliability.
Locations
- Menlo Park, CA, US
Salary
Salary not disclosed
Skills Required
- data infrastructure and architectureadvanced
- SQL or similar languagesintermediate
- object-oriented programming (Python, Java, etc.)intermediate
- Hadoopintermediate
- data visualization toolsintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field (degree)
- 9+ years of experience in BI and Data Warehousing (experience)
- 2+ years of experience managing managers (experience)
- Project management experience (experience)
- Data architecture experience (experience)
- Communication and leadership experience, with experience initiating and driving projects (experience)
- Experience scaling and managing 10+ person teams (experience)
- Advanced Degree in Computer Science, Math, Physics, or other technical fields (degree)
- Experience in a consumer web or mobile company (experience)
- Experience with data sets (experience)
Responsibilities
- Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it
- Build and scale a high-quality BI and Data Warehousing team
- Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs
- Lead data warehouse plans and ensure alignment with product vertical goals
- Lead the design, building, and launching of new data models and pipelines in production
- Ensure data quality across the product vertical and related business areas
- Manage the delivery of impactful dashboards and data visualizations
- Define and manage SLAs for all data sets and processes in production
Benefits
- bonus: Bonus included in compensation
- equity: Equity included in compensation
- general: Additional benefits offered by Meta (details available on Meta's benefits page)
