Meta
Summary:
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.
Required Skills:
Data Engineering Leader, Analytics Responsibilities:
Mission and Strategy: Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it
Team Building: Build and scale a high-quality BI and Data Warehousing team
Cross-Functional Collaboration: Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs
Data Warehouse Management: Lead data warehouse plans and ensure alignment with product vertical goals
Data Model and Pipeline Development: Lead the design, building, and launching of new data models and pipelines in production
Data Quality Assurance: Ensure data quality across the product vertical and related business areas
Dashboard and Visualization Delivery: Manage the delivery of impactful dashboards and data visualizations
Service Level Agreements: 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
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Project management experience
Data architecture experience
Experience in SQL or similar languages
9+ years of experience in BI and Data Warehousing
2+ years of experience managing managers
Communication and leadership experience, with experience initiating and driving projects
Experience scaling and managing 10+ person teams
Development experience in at least one object-oriented language (Python, Java, etc.)
Preferred Qualifications: Preferred Qualifications: Experience in a consumer web or mobile company
Advanced Degree in Computer Science, Math, Physics, or other technical fields
Experience with data sets, Hadoop, and data visualization tools
Public Compensation: $206,000/year to $281,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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Team Building: Build and scale a high-quality BI and Data Warehousing team
Cross-Functional Collaboration: Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs
Data Warehouse Management: Lead data warehouse plans and ensure alignment with product vertical goals
Data Model and Pipeline Development: Lead the design, building, and launching of new data models and pipelines in production
Data Quality Assurance: Ensure data quality across the product vertical and related business areas
Dashboard and Visualization Delivery: Manage the delivery of impactful dashboards and data visualizations
Service Level Agreements: 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
Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Project management experience
Data architecture experience
Experience in SQL or similar languages
9+ years of experience in BI and Data Warehousing
2+ years of experience managing managers
Communication and leadership experience, with experience initiating and driving projects
Experience scaling and managing 10+ person teams
Development experience in at least one object-oriented language (Python, Java, etc.)
Preferred Qualifications: Preferred Qualifications: Experience in a consumer web or mobile company
Advanced Degree in Computer Science, Math, Physics, or other technical fields
Experience with data sets, Hadoop, and data visualization tools
Public Compensation: $206,000/year to $281,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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