Data Engineering Leader, Analytics
7 days ago
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
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
• 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.
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.
-
Data Engineering Leader, Analytics
2 weeks ago
Menlo Park, CA, United States META Full timeSummary: 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...
-
Data Engineer
1 week ago
Menlo Park, CA, United States META Full timeSummary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D...
-
Data Engineer, Product Analytics
2 weeks ago
Menlo Park, CA, United States META Full timeSummary: As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets,...
-
Data Engineer, Product Analytics
7 days ago
Menlo Park, CA, United States META Full timeSummary: As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets,...
-
Data Engineering Manager, Analytics
6 days ago
Menlo Park, CA, United States META Full timeSummary: 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...
-
Data Engineering Manager, Analytics
1 week ago
Menlo Park, CA, United States META Full timeSummary: 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...
-
Data Engineering Manager, Analytics
4 days ago
Menlo Park, CA, United States META Full timeSummary: 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...
-
Data Engineering Manager, Analytics
2 weeks ago
Menlo Park, CA, United States META Full timeSummary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D...
-
Analytics Engineering
2 weeks ago
Menlo Park, CA, United States Robinhood Full timeJoin us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team +...
-
Data Scientist, Product Analytics
2 weeks ago
Menlo Park, CA, United States META Full timeSummary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the...