Data Engineering Leader, Analytics

Overview

We are seeking a Data Engineering Leader, Analytics 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.

Data Engineering Leader, Analytics 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.
• 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

• 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

• 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.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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@meta.com.

Compensation

The salary range for this position is $210,000/year to $281,000/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.

Key skills/competency

• Data Engineering
• BI
• Data Warehousing
• SQL
• Python
• Java
• Data Architecture
• Project Management
• Data Quality
• Hadoop
• Data Visualization
• Leadership