Data Engineering Senior Manager

ABOUT FANDUEL  

FanDuel Group (“FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. 

FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey, Georgia, California, Oregon, Canada and Scotland. 

Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms. 

FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). 

THE ROSTER 

At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports, and teams. We’re dedicated to building a winning team, and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful. 

THE POSITION 

Our roster has an opening with your name on it 

As a Senior Engineering Manager, you'll lead teams with blend of consultants and employees with diverse data engineer background who build scalable data pipelines to power business intelligence, analytics, fraud detection, and operational reporting across FanDuel. You'll partner with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance. This role demands both organizational leadership and technical depth; you'll build high-performing teams, own platform reliability and cost, and enable data-driven decision-making through pragmatic problem-solving and operational excellence. 

You should have a passion for imparting knowledge and a proven ability to grow a team and lead it to success. You will show a pragmatic approach to problem-solving; your experience should be built on a solid foundation of engineering development and operational support, and you should be able to show a proven background in coaching/ people management.  

THE GAME PLAN 
Everyone on our team has a part to play 

• Platform Leadership: Lead design build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and AWS infrastructure. Maintain engineering standards for performance, reliability, and cost. Contribute hands-on to architecture reviews, code reviews, and troubleshooting. 

• Team Management: Manage up to 9 data engineers and 5 consultants—hiring, onboarding, performance reviews, and career development. Build a high-trust culture grounded in psychological safety and continuous learning. 

• Delivery & Execution: Plan and prioritize the team's work to deliver on-time, on-quality. Balance discovery, platform investment, and run-the-business work. Know which features are essential versus deferrable. 

• Operational Excellence: Own production health, SLAs, and incident response. Identify and resolve risks, blockers, and cross-team dependencies proactively. 

• Architecture & Strategy: Resolve data architecture gaps. Align decisions across teams and drive platform coherence. Simplify, optimize, or extend solutions as needed. 

THE STATS 

What we’re looking for in our next teammate  

• 10+ years of experience in Data Engineering, Data Platform, or related data roles. 

• 3+ years leading engineering teams, including coaching, performance management, and organizational development. 

• Deep expertise building scalable data platforms and production-grade data pipelines, and strong experience with Python, Scala, or similar programming languages.  

• Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. 

• Proven experience driving complex cross-functional initiatives from concept through production. 

• Experience leading technical architecture discussions and engineering design reviews. 

• Experience in setting up self-healing and resilient data, and setting up monitoring and alerting using Monte Carlo, PagerDuty and DataDog.