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Data Platform Product Manager
| Company | FanDuel |
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| Location | Atlanta, GA, USA |
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| Salary | $114000 – $143000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 3-6 years of experience as a Product Manager, Product Owner, or Technical Product Manager working in data infrastructure, data engineering, or platform product roles
- Proven experience (2+ years) managing products or platforms built on Databricks, Airflow (preferably via Astronomer), or similar orchestration and compute tools
- Familiarity with Python and SQL, particularly in the context of data engineering workflows and developer productivity
- A self-starter who thrives in fast-paced environments and can bring clarity to ambiguity
- Exceptional analytical and communication skills, with experience translating technical needs into actionable product decisions
- Experience facilitating stakeholder workshops and aligning cross-functional teams around a common platform vision
Responsibilities
- Collaborate with teams across the business to understand how core data infrastructure supports analytical, ML, and operational use cases
- Take ownership of data products focused on foundational data engineering tools and platforms — with Databricks at the heart of the platform
- Lead elicitation of requirements, in the form of user stories & acceptance criteria, prioritizing the product backlog to streamline execution of key platform improvements
- Partner closely with Data Engineering and Platform teams to drive stability, scale, and usability across core tooling
- Execute the product strategy and roadmap for Databricks and Airflow (Astronomer), ensuring our platform remains efficient, well-governed, and developer-friendly
- Influence adoption of best practices across orchestration (Airflow), compute and processing (Databricks), and job development (Python, SQL, dbt)
- Support integration and rollout of observability and governance tooling including Monte Carlo, Satori, Hightouch, and Kafka
- Create and maintain documentation, including platform usage guidelines, onboarding materials, and operational support documentation
- Act as a bridge between engineering and internal users to shape a platform that balances enterprise controls with a seamless developer experience
- Share best practices within the Product community and foster a culture of technical curiosity, innovation, and continuous improvement
Preferred Qualifications
- Bonus points for experience with dbt, Monte Carlo, Hightouch, Satori, or Confluent/Kafka
