• Lead efforts in defining and implementing significant components of our new cloud architecture, collaborating with our most senior technologists • Deliver low-latency and highly scalable services • Partner closely with our desktop agent and AI teams • Drive continuous improvement in hiring, design reviews, post mortems, and growing the technical skills our team needs to excel.

• Implement and enhance scalable back-end features and APIs that support product growth and platform reliability • Refactor and evolve existing codebases and services to improve maintainability, performance, and long-term sustainability • Design scalable, performant, and maintainable services. Identify and advocate for architectural improvements and best practices • Write clean, testable code and participate in peer reviews that help raise the quality of the team’s output • Make thoughtful tradeoffs between speed, scale, and simplicity • Collaborate with a cross-functional team of engineers, designers, and product managers to define and ship new features • Strengthen your written communication through design docs, planning notes, and pull request descriptions — key to thriving in a remote-first environment • Develop confidence in owning small to medium-sized services, including monitoring, on-call participation, and driving incremental improvements • Meet regularly with global team members between 9-12 AM EST

• Monitor and support end-to-end match processing workflows across Academy and Scouting products • Track game status, turnaround times, and pipeline health using internal operational tools • Identify bottlenecks, recurring issues, and inefficiencies in processing workflows • Propose and support implementation of workflow and pipeline improvements • Act as an operational partner to Engineering on tooling, pipeline changes, and testing • Support Commercial teams with delivery visibility, timelines, and operational insight • Assist with root-cause analysis, post-mortems, and ongoing process optimization

• Design, implement, and maintain robust, automated data pipelines using modern ETL and ELT tools, including Fivetran for ingestion and dbt for transformation and orchestration. • Model and optimize data in Snowflake to support analytics, operational reporting, and automation, particularly for finance, people, and legal teams. • Ensure data reliability through automated quality checks, monitoring, observability, and lineage visibility. • Build reusable abstractions, libraries, and internal frameworks, primarily in TypeScript and SQL, to support scalable ingestion and transformation of structured and unstructured data. • Partner closely with analytics, engineering, and business stakeholders to deliver consistent, executive-ready insights through tools such as Metabase and a centralized corporate dashboard. • Leverage AWS and infrastructure as code to manage data storage, compute, and deployment workflows in a secure and scalable way. • Continuously evolve data architecture to meet changing needs around performance, scale, governance, security, and compliance.