Director of Baseball Data

At the Miami Marlins, we make waves — on and off the field.

We’re built for sustainable success thanks to our commitment to being great teammates, bold innovators, and thinking long-term. These three pillars guide us in championing a winning culture across the organization. The work we do doesn’t just impact our team — it reaches fans and communities across South Florida.

Position Summary

The Director of Baseball Data will lead the data engineering team within Baseball Systems, overseeing the architecture, development, and maintenance of our data infrastructure. This role will be responsible for designing and implementing scalable, high-performance data pipelines that support analytics, player evaluation, and decision-making across Baseball Operations. The ideal candidate will have deep expertise in data engineering, cloud computing, and database technologies, along with strong leadership and project management skills.

Essential Functions

Develop and execute the long-term data strategy for Baseball Systems, ensuring alignment with organizational goals. Lead the design, implementation, and optimization of scalable data pipelines and storage solutions. Oversee the integration of multiple internal and external data sources, ensuring data quality, consistency, and accessibility. Manage a team of data engineers, providing mentorship, technical guidance, and professional development. Collaborate with R&D, Player Development, Scouting, and Performance Science teams to understand data needs and deliver innovative solutions. Implement best practices for data governance, security, and compliance within the baseball data ecosystem. Evaluate and integrate new technologies and tools to enhance data processing, analytics, and machine learning workflows. Establish and maintain data documentation, ensuring transparency and usability across the organization. Work closely with the Director of Baseball Applications to align data infrastructure with application development. Drive continuous improvement in data engineering processes, fostering a culture of innovation and efficiency.

Our Values

We Are Great Teammates

Supports and encourages colleagues. Provides and receives feedback without judgement or ego. Holds one another to a high standard. Provides help and encouragement proactively. Assumes positive intentions from others. Looks for ways to help make their teammates better.

We Are Innovators

Embraces a growth mindset. Challenges conventional wisdom. Unafraid to fail. Pushes boundaries and doesn't accept impossible. Asks why and asks why not.

We Think Long-Term

Asks: what can I do today that will pay off a year from now. Eschews instant gratification for bigger benefits in the future. Always trying to think three steps ahead.

Skill Requirements

Expertise in SQL, Python, and data pipeline orchestration tools such as Apache Airflow. Strong experience with cloud computing platforms (Google Cloud, AWS, or Azure). Deep understanding of database technologies, including relational (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, BigQuery) systems. Knowledge of Snowflake is a plus. Knowledge of modern data architecture concepts, including data lakes, real-time processing, and distributed systems. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation). Strong analytical and problem-solving skills with a focus on performance optimization. Excellent communication and leadership abilities, with a track record of managing and developing teams. Experience working in sports analytics or baseball operations is a plus. Strong attention to detail and organizational skills.

Education & Experience Guidelines

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Minimum of 7+ years of experience in data engineering, with at least 3+ years in a leadership role. Proven experience designing and managing large-scale data infrastructure in a cloud environment. Experience in the sports industry or a passion for baseball is preferred. Experience with Baseball Data, Biomechanical Data, and Tracking Systems is preferred.

Work Environment

Ability to work evenings, weekends, and holidays as needed. Availability to travel occasionally for industry conferences or organizational needs. Ability to sit/stand for extended periods and work in an office environment.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital, or veteran status, or any other protected status.