- Build a highly scalable, cloud-based GraphQL API layer to deliver sports data across multiple digital platforms.
- Design and migrate existing data models to a federated GraphQL architecture within the CBS Sports digital ecosystem.
- Develop foundational capabilities using domain-driven design (DDD) and test-driven development (TDD).
- Optimize core sports GraphQL subgraphs and services in a federated architecture.
- Participate actively in Scrum ceremonies, including daily stand-ups, grooming, and sprint planning.
- Implement DevOps best practices, including writing tests, continuous deployment, observability, and monitoring.
- Review and provide constructive feedback on teammates' designs and code.
- Collaborate with product partners to develop technical solutions leveraging GraphQL for seamless data integration.
- Build a core data layer that ingests, processes, and stores data from hundreds of sources across various transports and data stores.
- Define distributed tracing and observability systems within the GraphQL ecosystem.
- Utilize GraphQL technologies such as WunderGraph Cosmo or Apollo.
- Work extensively with JavaScript/TypeScript and Node.js.
- Manage relational, NoSQL, and key-value data stores, including MySQL, DynamoDB, MongoDB, and Redis.
- Operate in distributed, cloud-based environments handling high transaction volumes.




- Apply modern build strategies, including CI/CD pipelines, unit and integration testing, GitOps, and issue-tracking tools such as Jira.
- Design solutions with risk evaluation, technical feasibility, and accurate estimations.
- Maintain strong knowledge of sports data integration and digital media environments.

Roles and Responsibilities

- Lead the design, development, and optimization of GraphQL schemas and federated subgraphs to enhance data retrieval and performance.
- Mentor and guide team members in adopting best practices for GraphQL development and cloud-based data engineering.
- Collaborate cross-functionally with engineering, product, and architecture teams to align on data integration strategies.
- Drive continuous improvement in development workflows, including testing, deployment, and monitoring.
- Conduct technical reviews and lead deep-dive sessions on GraphQL and related technologies.
- Ensure robust observability and tracing mechanisms for web services within the GraphQL ecosystem.
- Support product teams by translating feature requirements into scalable GraphQL solutions.
- Stay current with emerging GraphQL tools, cloud services, and data engineering trends to innovate within the team.

📌 Senior Data Engineer – GraphQL / Sports Data (México)
🏢 Ltm
📍 México