Data Engineering Director

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

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).

THE POSITION
Our roster has an opening with your name on it

We are seeking an experienced and forward-thinking Director of Data Engineering to lead a team of technical leaders & engineers in designing and delivering scalable, reliable, and high-impact data solutions. This role is key to executing our data strategy, building data products that serve internal and external users, and enabling data-driven decision-making across the business.

The ideal candidate brings deep technical expertise, a customer-first mindset, and the ability to translate business needs into data engineering solutions. You’ll lead a team of talented technical leaders & engineers while collaborating across product, analytics, and business functions to align on priorities and maximize value delivery.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

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

Strategic & Cross-Functional Leadership

• Partner with product, analytics, and business stakeholders to define and prioritize data engineering initiatives aligned with strategic goals
• Translate high-level business objectives into actionable data engineering roadmaps and deliverables
• Contribute to the long-term vision for the data ecosystem, helping shape platform architecture and data product strategy

Engineering Delivery & Best Practices

• Lead the design, development, and deployment of batch & real-time data pipelines, platforms, and products using modern, cloud-native technologies
• Champion data quality, governance, and observability across the data stack through automation, validation, and monitoring
• Ensure adherence to software engineering best practices, including CI/CD, testing, and scalable code standards

Team Management & Personnel Development

• Manage and mentor a team of data engineers and technical leaders, supporting both their technical and career growth
• Foster a culture of ownership, accountability, and continuous improvement
• Promote cross-functional collaboration and knowledge sharing within and beyond the data engineering team

Operational Excellence

• Improve development workflows to optimize productivity, delivery speed, and quality
• Drive efficiency and performance through effective resource planning and prioritization
• Partner with data governance, privacy, and security teams to ensure regulatory compliance and best practices in data handling
  
  
  

THE STATS
What we're looking for in our next teammate

• 8+ years of experience in data engineering, with 3+ years in a technical leadership or management role
• Proven experience building and managing robust, scalable data pipelines and platforms.
• Strong proficiency in modern data technologies (e.g., Spark, Airflow, dbt, Kafka, Fivetran, Databricks, Confluent)
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Excellent communication skills with the ability to influence technical and non-technical audiences
• Demonstrated ability to lead high-performing teams and manage competing priorities in fast-paced environments

Preferred Ski