Principal Data Architect

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Curium is the world’s largest nuclear medicine company with more than a century of industry experience. We develop, manufacture and distribute world-class radiopharmaceutical products to help patients around the globe. Our proven heritage combined with a pioneering approach are the hallmarks to deliver innovation, excellence and unparalleled service.

With manufacturing facilities across Europe and the United States, Curium delivers SPECT, PET and therapeutic radiopharmaceutical solutions for life-threatening diseases to over 14 million patients annually. The name ‘Curium’ honors the legacy of pioneering radioactive researchers Marie and Pierre Curie, after whom the radioactive element curium was named and emphasizes our focus on nuclear medicine. The tagline ‘Life Forward’ represents our commitment to securing a brighter future for all those we serve:
An enhanced quality of care for our patients. A trusted partner to our customers. A supportive employer to our valued team.

The Principal Data Architect is responsible for designing, developing, and governing the organization's enterprise data architecture to support business intelligence, analytics, artificial intelligence, operational reporting, and digital transformation initiatives. This role establishes data standards, models, integration patterns, and governance frameworks that enable trusted, scalable, and secure data across the enterprise.
The Data Architect works closely with business stakeholders, data engineers, analytics teams, application owners, and technology leaders to ensure data assets are aligned with organizational strategy and business objectives.

Work Schedule: M - F 8am - 5pm. This is a hybrid position: 4 days onsite, 1 day remote.

• Develop and maintain enterprise data strategies, roadmaps, standards, reference architectures, and documentation.
• Design scalable data platforms and conceptual, logical, physical, and dimensional models for reporting, analytics, AI, and operational use.
• Define enterprise principles for master, reference, transactional, and cross-domain data.
• Data Integration:
  • Define scalable standards and patterns for ETL, ELT, APIs, batch, real-time integration, automated onboarding, and ingestion management.
  • Design integration across applications, platforms, and data sources, partnering with Data Engineers to implement reliable solutions.
• Data Governance & Quality:
  • Establish governance and quality standards for metadata, lineage, ownership, stewardship, access, and consistent business definitions.
  • Enable trusted data products through metadata-driven auditing, monitoring, and collaboration with Data Governance teams.
• Design secure and resilient cloud data warehouses, lakes, and lake houses that meet scalability, availability, performance, and cost requirements.
• Evaluate emerging technologies, third-party solutions, and AI tooling; recommend improvements and establish usage and cost-attribution practices.
• Analytics & AI Enablement:
  • Enable governed reporting, self-service analytics, AI, and reusable data products through trusted data and well-defined semantic models.
  • Partner with analytics and AI teams to define architecture requirements and secure adoption standards.
• Security & Compliance:
  • Embed security, privacy, role-based access, and regulatory requirements into architecture designs and data protection standards.
  • Partner with Security and Compliance teams to ensure alignment with organizational and regulatory expectations.
  • Must maintain operational compliance with US and international regulatory agencies and guidelines (i.e. FDA, DEA, EU, HC, TGA, PIC/S, ISO, USP, NRC, cGMP, etc.).
• Provide technical leadership, translate business needs…