Data Engineering Senior Manager
FanDuel is seeking a Senior Engineering Manager to lead a team comprising both consultants and employees with diverse data engineering backgrounds. This role is responsible for building scalable data pipelines that power business intelligence, analytics, fraud detection, and operational reporting across FanDuel.
The successful candidate will collaborate with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance. The position requires a blend of organizational leadership and technical depth, focusing on building high-performing teams, owning platform reliability and cost, and enabling data-driven decision-making through pragmatic problem-solving and operational excellence. A passion for imparting knowledge and a proven ability to grow and lead a team to success are essential.
- Lead the 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, including hiring, onboarding, performance reviews, and career development.
- Build a high-trust culture grounded in psychological safety and continuous learning.
- Plan and prioritise the team's work to deliver on-time and on-quality results.
- Balance discovery, platform investment, and run-the-business work.
- Own production health, SLAs, and incident response.
- Identify and resolve risks, blockers, and cross-team dependencies proactively.
- Resolve data architecture gaps and align decisions across teams to drive platform coherence.
- 10+ years of experience in Data Engineering, Data Platform, or related data roles (required).
- 3+ years leading engineering teams, including coaching, performance management, and organisational development (required).
- Deep expertise building scalable data platforms and production-grade data pipelines (required).
- Strong experience with Python, Scala, or similar programming languages (required).
- Experience working with modern cloud data platforms such as Databricks (preferred).
- Experience with Delta Lake, Snowflake, or BigQuery (required).
- Proven experience driving complex cross-functional initiatives from concept through production (required).
- Experience leading technical architecture discussions and engineering design reviews (required).
- Experience in setting up self-healing and resilient data, and setting up monitoring and alerting using Monte Carlo, PagerDuty and DataDog (required).
- Experience managing and delivering multiple projects at the same time (required).
- Excellent people management, communication, presentation and facilitation skills (required).
- Competitive compensation.
- Opportunities for professional development and mentorship.
- Generous insurance and paid leave policies.
- An exciting and fun work environment.
FanDuel Group 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 North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, 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).