Senior Staff Data Architect



1,001-5,000 employees

Fantasy sports and online U.S. sportsbook

Data & Analytics

Senior, Expert

New York, NY, USA

Required Skills
  • 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.
  • Minimum 15 years of experience in data architecture and engineering, with a proven track record of success in complex, enterprise-scale environments.
  • In-depth expertise in data modeling, data warehousing and lake technologies, ETL/ELT processes , and cloud data platforms.
  • Strong experience in dbt, Databricks, and other modern data platforms and capabilities.
  • Proven leadership experience, with the ability to build and motivate high-performing data engineering teams.
  • AWS Certification such as AWS Solutions Architect or AWS Certified Big Data.
  • Ability to see around corners, predict needs, and identify patterns.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Strong understanding of data security and governance principles, with the ability to implement robust frameworks and processes.
  • Excellent leadership, communication, presentation, and interpersonal skills, with the ability to effectively influence and collaborate with diverse stakeholders.
  • Master's degree in computer science, Information Systems, or a related field preferred.
  • Lead the development and execution of the data architecture roadmap, aligning it with the organization's long-term vision and strategic goals.
  • Define & drive the implementation of efficient data models and standards, to ensure consistent and high-quality data across the organization.
  • Define and implement robust data governance policies and standards to ensure data quality, security, and compliance across the entire data ecosystem.
  • Champion and evangelize the value of data across the organization, fostering a data-driven culture and aligning stakeholders on data initiatives.
  • Stay at the forefront of emerging data technologies and trends, proactively identifying and evaluating their potential impact and applicability.
  • Design and architect highly scalable and performant data capabilities (e.g., data pipelines, data lake, data warehouse), leveraging cutting-edge cloud platforms and technologies.
  • Oversee the implementation and optimization of data infrastructure, ensuring cost-effectiveness, uptime, and resilience.
  • Lead the selection and adoption of new data tools and technologies, while fostering innovation and continuous improvement within the data engineering team.
  • Build strong relationships with cross-functional teams, including product managers, business stakeholders, data scientists, and engineers, to effectively translate business needs into technical solutions.
  • Communicate complex technical concepts clearly and concisely to diverse audiences, fostering collaboration and ensuring alignment across the organization.
  • Advocate for and secure resources to support the ongoing development and maintenance of the data infrastructure.

Fanduel is on a mission to make sports more exciting. The company provides a daily fantasy sports platform with a range of game types for players with a guaranteed prize pool for the winners.

Company Stage


Total Funding



New York, New York



Growth & Insights

6 month growth


1 year growth


2 year growth



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