Data Architect

Responsibilities

• Lead the end‑to‑end architecture of , covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications.
• Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains.
• Design scalable, modular, and governed data pipelines following Foundry best practices (transform patterns, DRY architecture, no circular dependencies).
• Integrate structured, unstructured, streaming, and device/IoT datasets using Foundry’s ingestion and connector frameworks.
• Build ontology‑driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command‑centre operations.
• Implement robust security, classification, and purpose‑based access controls, ensuring full lineage, auditability, and regulatory compliance.
• Work closely with clinicians, analysts, data engineers, Dev Ops teams, and senior leadership to guide platform adoption and architectural decision‑making.
• (AWS optional but advantageous) Support Foundry deployments on AWS including S3 data storage, KMS encryption, multi‑AZ architecture, Cloud Watch monitoring, and alignment to AWS Well‑Architected Framework.

• Solution Architect Certification
• AWS Solutions Architect – Associate/Professional