Principal Data Architect

Curium Pharma; St. Louis (MO); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Curium Pharma is seeking a Principal Data Architect to design, develop, and govern the enterprise data architecture to support BI, analytics, AI, and digital transformation initiatives. The role partners with stakeholders, data engineers, and technology leaders to align data assets with business objectives.

The position is hybrid (4 days onsite, 1 day remote) with a schedule Mon–Fri 8am–5pm. You will lead data standards, models, integration patterns, and governance to enable trusted data across

Qualifications

• Bachelor’s degree or higher in a technical field.
• 8+ years in software/data engineering, with 4+ years in data management or analytics.
• 2+ years lead-level cloud data engineering experience.
• Experience designing enterprise-scale data solutions for BI/analytics.
• Strong SQL and data modeling skills (star/snowflake).
• Knowledge of ETL/ELT, real-time integration, APIs, and data governance.

Responsibilities

• Develop and govern enterprise data architecture for BI, analytics, AI, and digital transformation.
• Design scalable data platforms and data models for reporting and ops use.
• Establish enterprise data principles for master, reference, and transactional data.
• Define integration standards for ETL/ELT, APIs, batch and real-time.
• Ensure governance, metadata, lineage, ownership, and data quality.

Skills

Data architecture

Enterprise data modeling

Data governance

Cloud data platforms

ETL/ELT

SQL

Data security & compliance

Stakeholder management

Leadership

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field

Master’s degree or MBA

Tools

Microsoft Fabric

Azure

Snowflake

Databricks

Job description

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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.

Summary of Position

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.

Essential Functions

• 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 lakehouses 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 into scalable solutions, and review designs for alignment with standards.
• Collaborate across business, technology, and governance teams while maintaining diagrams, standards, and architecture documentation.
• Guide and mentor Data Engineers and delivery teams through architecture best practices and code reviews.

Requirements

• Must have Experience / Skills:
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field, or equivalent professional experience
  • 8+ years of professional software engineering experience, including 4+ years in data management, data engineering, data warehousing, or analytics, and 2+ years of lead-level cloud data engineering
  • Demonstrated experience designing and implementing enterprise-scale data solutions that support business intelligence, analytics, operational reporting, and advanced analytics.
  • Strong experience developing conceptual, logical, and physical data models, including dimensional (star and snowflake) schemas and modern data warehouse, data lake, and lakehouse architectures, using established data modeling principles and best practices.
  • Strong understanding of data integration and engineering principles, including ETL/ELT processes, data pipelines, APIs, batch processing, and real-time integration patterns.
  • Proficiency in SQL with a strong understanding of database design, data transformation, performance optimization, and data management principles.
  • Experience with data governance practices, including data ownership, stewardship, metadata management, data lineage, data quality, master and reference data, and data cataloging.
  • Experience designing solutions on modern cloud-based data platforms and analytics/distributed-data environments, such as Microsoft Fabric, Azure, Snowflake,
  • Databricks, or comparable technologies (preferred).
  • Strong understanding of data security, privacy, access management, and regulatory compliance requirements and the ability to incorporate these principles into enterprise data architecture.
  • Strong communication and stakeholder management skills, able to translate complex technical concepts into clear business language, establish architecture standards, influence technical decisions, and provide technical leadership across business and technology teams without direct authority.
  • Strong analytical and problem-solving skills with the ability to evaluate business requirements and translate them into scalable, secure, and maintainable data architecture solutions
• Nice to have Experience / Skills:
  • Master’s degree or MBA.
  • Knowledge of Agile development and the software development lifecycle.
  • Relevant certifications in data management, analytics, cloud platforms, architecture, or project management.
  • Experience with pharmaceutical regulations and guidance, including 21 CFR Part 11/210/211, EU Annex 11, MHRA, GAMP 5, cGMP, electronic records, signatures, and data integrity.
  • Additional language proficiency.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position.

Equal Opportunity Employer

Curium is anequal opportunity employerand believes everyone deserves respect, dignity and equality. All applicants will be considered for employmentwithout attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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