FanDuel is seeking a Director of Data Engineering to lead a team in designing and delivering scalable, reliable, and high-impact data solutions to support their data strategy, build data products, and enable data-driven decision-making across the business.
Requirements
- 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
- Experience supporting analytics, data science, or product development teams in a data-driven organization
- Familiarity with data product thinking and customer-centric data delivery
- Understanding of machine learning workflows and advanced analytics pipelines
Responsibilities
- 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
- 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
- Improve development workflows to optimize productivity, delivery speed, and quality
Other
- 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
- 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
