Data Platform Engineer
About The Position
The Data Platform Engineer will report to the Director, Data Platforms and will be responsible for the design, build, and maintenance of Madison Square Garden Family of Company’s data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing MSG’s cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
Requirements
- 4–7 years experience building and maintaining production data pipelines
- 4+ years Python development experience (production-grade code)
- 2+ years experience with DBT
- 2+ years experience with Apache Airflow (or equivalent orchestration tools)
- Strong SQL and data modeling expertise (dimensional + normalized modeling)
- Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
- Experience designing scalable data architectures in cloud environments
- Experience troubleshooting and supporting production systems
- Strong communication skills and ability to work directly with business stakeholders
- Bachelor’s degree in Computer Science, Engineering, or related field
- Infrastructure as Code (Terraform or CloudFormation)
- CI/CD and DevOps practices
Responsibilities
- Design, build, and maintain scalable, reliable AWS-based data architecture
- Develop and optimize production-grade Python data pipelines
- Own end-to-end ELT workflows using DBT and Apache Airflow
- Design, implement, and optimize data models to support analytics and operational reporting
- Improve platform reliability, observability, and performance across the data stack
- Contribute to architectural decisions for scalability, security, and cost optimization
- Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
- Evaluate and recommend new technologies to evolve MSG’s data platform
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
