[Hiring] Principal Architect @Brown Medicine

Role Description

Reporting to the Vice President and Chief Data Analytics Officer, the Principal Architect – Research Data will be responsible for leading the architecture, design, and technical implementation of Brown University Health’s research data ecosystem. This role will help build a modern, scalable, secure, and governed data environment that enables researchers to efficiently discover, access, integrate, and analyze clinical and biomedical data.

The Principal Architect will provide technical leadership across the architecture, design, and implementation of cloud-based research data platforms, including enterprise research data repositories, common data models, structured and unstructured clinical data, data integration, and capabilities that support advanced analytics, artificial intelligence, and machine learning.

This is a senior, hands-on technical architecture role for an individual who combines deep healthcare and research data expertise with strong software and data engineering experience. The Principal Architect will be expected not only to define architecture and technical direction, but also to work directly with engineering teams to design and implement critical components of the research data ecosystem.

The Principal Architect will work closely with researchers, clinicians, Data & Analytics, Information Services, research administration, security, privacy, and other stakeholders to translate research needs into scalable, reusable, and sustainable enterprise data capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, Biomedical Informatics, Health Informatics, Information Systems, or a related technical field required.
• Master’s degree in Computer Science, Biomedical Informatics, Data Science, Engineering, or a related field preferred.
• Equivalent combinations of education and relevant professional experience may be considered.

Requirements

• A minimum of 15 years of progressively responsible experience in data architecture, data engineering, software engineering, healthcare informatics, or related technology disciplines, including significant experience designing and leading complex data platform initiatives.
• Senior-level experience architecting and delivering complex data platforms, preferably within a large healthcare, academic medical center, life sciences, or biomedical research environment.
• Deep expertise in modern data architecture, data engineering, data modeling, data integration, and the design and implementation of large-scale clinical or research data platforms.
• Demonstrated experience architecting or engineering data platforms that support clinical or biomedical research.
• Experience with i2b2, OMOP, or similar clinical research common data models and research data architectures.
• Strong understanding of healthcare and biomedical data, including electronic health record data and the complexities associated with using clinical data for research and analytics.
• Demonstrated hands-on software or data engineering experience developing data platforms, pipelines, services, applications, or other production data capabilities.
• Experience translating complex researcher and stakeholder needs into scalable technical architectures and reusable enterprise capabilities.
• Demonstrated ability to evaluate technologies, develop architectural recommendations, and move from architecture and design through hands-on implementation.
• Strong analytical and problem-solving skills, with the ability to navigate complex technical and organizational environments.
• Excellent communication and collaboration skills, with demonstrated ability to engage effectively with researchers, clinicians, technical teams, operational leaders, and senior stakeholders.
• Demonstrated ability to provide technical leadership and work effectively across organizational and disciplinary boundaries.

Preferred Qualifications

• Experience designing and implementing solutions using modern cloud data platforms and services, including Microsoft Azure, Snowflake, Databricks, or comparable technologies.
• Experience designing or implementing batch and real-time healthcare data integration, including familiarity with interoperability standards and technologies such as HL7 and FHIR.
• Programming experience in Python; experience with C#, Java, C++, or other object-oriented programming languages is also desirable.
• Experience working with structured and unstructured healthcare data, including clinical notes, reports, documents, and other narrative clinical information.
• Experience architecting, developing, or enabling data platforms that support artificial intelligence, machine learning, clinical natural language processing, or related advanced analytic applications.
• Familiarity with the use of large language models or other advanced natural language processing approaches to extract, classify, summarize, or otherwise analyze clinical and biomedical text.
• Experience designing healthcare data solutions within privacy, security, governance, data-quality, and access-control requirements.

Supervisory Responsibility

None. This position serves as a senior technical leader and is expected to provide architectural direction, technical leadership, and guidance across multidisciplinary teams and initiatives without direct supervisory responsibility.

Pay Range

$134,035.20-$221,187.20

EEO Statement

Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.

Location

Corporate Headquarters - 15 LaSalle Square Providence, Rhode Island 02903

Work Type

M-F 8:30am-5:00pm

Work Shift

Day

Daily Hours

8 hours

Driving Required

No