Data Engineering Manager, Analytics
Meta
Job Overview
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Job Description
Data Engineering Manager, Analytics at Meta
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
Responsibilities
- Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
- Build and lead a high-quality BI and Data Warehousing team, designing it to scale
- Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
- Manage data warehouse plans, drive data quality, and ensure operational efficiency
- Design, build, and launch new data models and pipelines in production
- Deliver high-impact dashboards and data visualizations
- Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
- Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
Minimum Qualifications
- A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
- 8+ years of experience in BI and Data Warehousing
- Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
- Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
- Experience communicating results of analysis to executive leadership
- Project management experience
- Data architecture experience
- Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
- 2+ years of experience managing people with experience scaling and managing 3+ person teams
- Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
Preferred Qualifications
- Experience scaling and managing teams with 5 or more individuals
- Advanced Degree in Computer Science, Math, Physics, or other technical fields
- Experience in a consumer web or mobile company
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.
Key skills/competency
- Data Engineering
- Analytics Leadership
- Data Warehousing
- Business Intelligence (BI)
- SQL
- Python/Java
- Data Architecture
- Project Management
- Data Modeling
- Stakeholder Management
How to Get Hired at Meta
- Research Meta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in data engineering, BI, and team leadership, using keywords from the job description.
- Showcase leadership and impact: Prepare to discuss specific examples of driving data architecture, managing data teams, and delivering high-impact analytics projects.
- Master technical fundamentals: Brush up on SQL, data warehousing concepts, data modeling, and an object-oriented language like Python or Java for Meta's interviews.
- Network strategically: Connect with current Meta employees in data engineering or analytics roles on LinkedIn for insights and potential referrals.
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