Data Engineering Senior Manager

Join FanDuel as a Senior Engineering Manager to lead diverse teams in building scalable data pipelines and driving platform governance in the exciting world of sports-tech entertainment.

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).

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.

• •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.

• •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.

• •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.

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

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

• •Competitive compensation is just the beginning.
• •An exciting and fun environment committed to driving real growth.
• •Opportunities to build really cool products that fans love.
• •Mentorship and professional development resources to help you refine your game.
• •Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another.

• •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.
• •Experience managing and delivering multiple projects at the same time is necessary.

• •Excellent people management, communication, presentation and facilitation skills are necessary.