VERSANT Media’s Sports & Entertainment Digital Products division is looking to innovate, create unforgettable experiences, and connect with fans through the power of technology, and this role is expected to contribute to that mission by architecting, designing, and building data solutions that power analytics, insights, and personalization across Fandango’s digital platforms.
Requirements
- 7+ years of experience in data engineering, data warehousing, or OLAP environments.
- 5+ years of SQL experience, including performance tuning and query optimization.
- 4+ years of Python or PySpark development for data pipelines and transformations.
- 3+ years of experience building and maintaining pipelines using AWS Glue, Airflow, EMR, Lambda, or equivalent orchestration tools.
- Strong experience in AWS Data Services (S3, Redshift, Athena, DynamoDB) and distributed data processing frameworks.
- Proven experience in data modeling (dimensional and relational) and schema design for analytical workloads.
- Experience with real-time data streaming (Kafka, Kinesis, or similar).
Responsibilities
- Architect, design, and develop scalable data pipelines, data lakes, and data warehouses (AWS Redshift, S3, Glue, EMR) to support analytics and product intelligence.
- Lead the design of ETL/ELT frameworks and data models (relational and dimensional) to power reporting, dashboards, and data-driven applications.
- Build and optimize PySpark, Python, and SQL workflows for large-scale batch and streaming data processing.
- Orchestrate workflows using Airflow or AWS MWAA and implement data ingestion from APIs, third-party sources, and internal microservices.
- Implement data quality, validation, and observability frameworks across all data pipelines.
- Partner with data scientists, analysts, and product teams to ensure high-quality, well-modeled data for analytics and ML use cases.
- Drive best practices in version control, testing, CI/CD, and infrastructure as code (Terraform).
Other
- Excellent collaboration and communication skills with technical and non-technical stakeholders.
- Strong Agile/Scrum experience and mentorship background.
- Ability to report progress and blockers to leadership, and collaborate with cross-functional IT and infrastructure teams.
- Mentor other data engineers, contributing to design reviews, code quality, and operational excellence.
- Bachelor's degree or equivalent experience.
