Data Architect, Digital Infrastructure

The Position

We are seeking an experienced Data Architect to own the data strategy, architecture, and governance of the data platform underpinning our next-generation HPC data center, which serves as the foundation for NMC²’s broader compute, cloud, and digital application offerings. This role is key in structuring, securing, and optimizing data flows from OT/IT systems, facility and environmental sensors, compute platforms, cloud services, developer and application platforms, and business applications into a unified, analytics- and AI-ready data environment.

Working closely with digital and platform architecture partners, this role ensures a cohesive digital and data ecosystem across physical infrastructure and higher-level platform capabilities.

A core focus of this role is the development of enterprise semantic models, data ontologies, and data anthologies that establish the authoritative layer of meaning across NMC²’s environments. These semantic foundations power digital twins, operational and platform intelligence, reusable data products, and simulation-driven workflows. The role defines how data flows, transforms, and connects across data center infrastructure, HPC clusters, GPU workloads, job schedulers, observability systems, performance and environmental telemetry, and application-facing platforms, enabling consistent measurement, optimization, and planning across the full compute stack.

• Define the enterprise data strategy and target-state architecture for data center, and operational domains, ensuring alignment with analytics, AI, digital twin, and simulation use cases.
• Define and govern the enterprise data ontology and data anthology, establishing the authoritative semantic layer that unifies meaning, relationships, and context across data center, and business domains.
• Lead the development of semantic models and ontologies (e.g., Palantir Foundry Ontology) to ensure consistent representation of data workflows, assets, operational processes, and digital systems.
• Establish data domain boundaries and ownership models aligned with data mesh principles, enabling decentralized data ownership with shared semantics and federated governance.
• Design ontology-enabled data abstractions that support digital twins, simulations, scenario modeling, and predictive analytics across compute and infrastructure environments.
• Define canonical data models, semantic contracts, and interoperability standards that unify heterogeneous OT, IT, HPC, and business data sources.
• Architect scalable data models and data flows supporting HPC clusters, GPU workloads, job schedulers, observability systems, and data center infrastructure.
• Design and maintain unified data architectures that connect compute telemetry, environmental data, power and cooling systems, network performance metrics, and enterprise datasets.
• Establish governance frameworks for data quality, lineage, metadata, access controls, lifecycle management, and compliance, balancing control with domain autonomy.
• Enable a data mesh operating model by defining standards for discoverability, data products, semantic consistency, and federated governance.
• Partner with Big Data, data center architecture, and product teams to translate platform and product requirements into scalable, governed data and semantic architectures.
• Define standards for data ingestion, transformation, API integration, and schema management to ensure interoperability across distributed systems.
• Implement and guide adoption of data cataloging, metadata management, and semantic discovery tools to enable self-service analytics and operational transparency.
• Evaluate and integrate emerging technologies in data management, knowledge graphs, observability, simulation tooling, and HPC analytics.

• 7+ years of experience defining enterprise data architecture and data strategy, including ownership of semantic models, governance frameworks, and cross-domain data integration in complex, large-scale environments.
• Strong expertise in semantic modeling, data ontology design, and data anthology development, with the ability to translate complex technical and operational domains into…