Data Platform & Architecture ● Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems. ● Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics. ● Clean, transform and structure the data to create a digital twin of Nscale. ● Implement permissioning and manage access and security of the Foundry implementation. Data Products & Enablement ● Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights. ● Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers. ● Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward. ● Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions. Reliability, Quality & Governance ● Implement data quality checks, monitoring, and alerting to ensure data correctness and availability. ● Codify data lineage, freshness, and consistency across systems. ● Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company. ● Continuously improve system resilience and observability. Early-Stage Ownership & Growth ● Take end-to-end ownership of projects, from design through to production and iteration. ● Help define standards, tooling, and ways of working for data at Nscale. ● Contribute to technical decision-making as the company scales its platform and customer base. ● Act as a thought partner to engineers and operators, not just a service function.