CIBMTR is a global research registry that acquires treatment and outcomes data from transplant and cellular-therapy centers on patients who have received blood or marrow transplants, CAR-T, and gene therapies for a broad range of malignant and non-malignant indications. We curate and make data available to a worldwide network of researchers, clinicians, regulators, and other stakeholders who depend on its accuracy, completeness, and timeliness.
CIBMTR has launched an ambitious, multi-year initiative to transform and modernize its entire end-to-end data pipeline. The program includes adoption of agentic AI, migration to a lakehouse architecture, establishment of centralized metadata management, expansion of analytics capabilities, and deployment of cloud-native infrastructure.
Reporting to the Sr. IT Director, the Solutions Architect will provide senior technical leadership in documenting and validating the current-state architecture and in designing, validating, and overseeing the build-out of the future-state platform. The architect will act as a trusted technical advisor, partnering with CIBMTR vendors and IT leaders alike, translating strategic objectives into concrete, governable, and secure reference architectures spanning data, analytics, machine learning, and agentic AI. The role is equal parts design authority, technical advisor, and mentor: the architect is expected not only to shape the platform, but also to raise the capabilities of an experienced team who possess deep domain and data knowledge. Success depends on technical depth, hands-on application, sound judgment across architectural trade-offs, the ability to challenge and validate vendor designs constructively, and a genuine talent for teaching.
Architecture & Solution Design
Validation, Governance & Vendor Partnership
Mentorship & Team Upskilling
Strategy, Advisory & Communication
Appropriate experience may be substituted on equivalent basis.
Minimum Required Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Minimum Required Experience: 8 years or more in data engineering, software/data architecture, or a closely related discipline, including 3+ years in a solutions, data, or enterprise architect capacity.
Preferred Education: Master's degree
Preferred Experience: Experience in healthcare, life sciences, clinical research, or a regulated data-sensitive domain; familiarity with clinical/research registries, outcomes data, or EHR-derived data. Demonstrated experience mentoring or providing technical leadership to engineering and analytics teams.
Preferred Certification/Licensure(s): AWS Solutions Architect Professional or equivalent hyperscaler certification; Databricks or Snowflake data-platform certification; DAMA CDMP or AI/agentic-architecture certification.
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects. #LI-NK1
For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
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The mission of the Medical College of Wisconsin is to be a national leader in the education and development of the next generation of physicians and scientists; to discover and translate new knowledge in the biomedical sciences; to provide cutting-edge, interdisciplinary and compassionate clinical care of the highest quality; to improve the health of the communities we serve. Founded in 1893 as the Wisconsin College of Physicians and Surgeons. Formerly associated with Marquette University.