Data Engineering Senior Manager

The Senior Engineering Manager will lead teams comprising a blend of consultants and employees with diverse data engineering backgrounds, building scalable data pipelines to power business intelligence, analytics, fraud detection, and operational reporting across FanDuel. The role involves partnering with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance. It demands both organisational leadership and technical depth, including building high-performing teams, owning platform reliability and cost, and enabling data-driven decision-making through pragmatic problem-solving and operational excellence.

• 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, balancing discovery, platform investment, and run-the-business work.
• Own production health, SLAs, and incident response, and proactively identify and resolve risks, blockers, and cross-team dependencies.
• Resolve data architecture gaps, align decisions across teams, and drive platform coherence.
• Simplify, optimise, or extend solutions as needed.
• Partner with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance.

• 10+ years of experience in Data Engineering, Data Platform, or related data roles.
• 3+ years leading engineering teams, including coaching, performance management, and organisational development.
• Deep expertise in building scalable data platforms and production-grade data pipelines.
• Strong experience with Python, Scala, or similar programming languages.
• Experience working with modern cloud data platforms such as 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 simultaneously.
• Excellent people management, communication, presentation, and facilitation skills.
• A passion for imparting knowledge and a proven ability to grow a team and lead it to success.
• A pragmatic approach to problem-solving, built on a solid foundation of engineering development and operational support.
• A proven background in coaching and people management.

• Experience with Databricks.

• 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 refine your game.
• Generous insurance and paid leave policies.

It is the premier gaming destination in the United States, with a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator.