• Design, build, and operate scheduled and event-driven data pipelines for simulation outputs, telemetry, logs, dashboards, and scenario metadata • Build and operate data storage systems (structured and semi-structured) optimized for scale, versioning, and replay • Support analytics, reporting, and ML workflows by exposing clean, well-documented datasets and APIs • Enable scenario comparison, lineage, and traceability across time, versions, and parameter sets • Work with engineers to define data contracts and schemas between the simulation environment and downstream systems • Monitor and improve data reliability, performance, and availability