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 GAME PLAN

Everyone on our team has a part to play

• Partner with the rest of the Data Architecture team to lead the development and execution of the data architecture roadmap, aligning with the organization’s overall data strategy and business objectives.
• Define data models, standards, and governance policies to ensure consistent and high-quality data across the organization.
• Identify and evaluate emerging technologies and trends in data management and analytics, recommending strategic adoption to enhance data capabilities.
• Design and implement scalable and maintainable data pipelines and data platforms, leveraging cloud platform tools and technologies.
• Partner with data engineers, product managers and other stakeholders to translate business requirements into technical solutions, bridging the gap between strategy and execution.
• Oversee the performance and optimization of data systems, constantly seeking ways to improve efficiency and cost-effectiveness.
• Foster a collaborative environment within the data engineering team, promoting knowledge sharing and continuous learning.
• Effectively communicate the value and impact of data architecture to various stakeholders, ensuring alignment and buy-in.
• Advocate for and secure resources to support the ongoing development and maintenance of the data infrastructure.

THE STATS

What we’re looking for in our next teammate

• 7+ years’ experience in database management, IT systems and Big Data & AI/ML engineering experience.
• Deeply technical and analytical with implementation and architectural experience in Streaming, Big Data, AI/ML engineering and Data Warehousing.
• Hands on experience leading large-scale database, ETL/ELT deployment in batch or streaming ingestion, and AI/ML projects with building feature software.
• Experience with data migration techniques and process planning.
• AWS Certification such as AWS Solutions Architect or AWS Certified Big Data.
• Strong experience in data security/compliance experience, or equivalent.
• Strong problem-solving skills, including optimizing new processes.
• Ability to influence multiple teams, functional areas, and levels of leadership.
• Ability to see around corners, predict needs, and identify patterns.
• Ability to manage multiple priorities in a fast-paced environment.
• Excellent leadership, communication, presentation, and facilitation skills are necessary
• Strong analytical and problem-solving skills.
• Bachelor’s degree in computer science, or a related field.

LI-Hybri