Information Architect
LabCorp
Durham, NC, United States
3 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Business Analytics Applications
Data Analysis
Microsoft Azure
Clinical Data Repository
Data Architecture
Information Engineering
Data Governance
Relational Databases
Dimensional Modeling
Metadata
+9 more
Operational Data Store
Power BI
Cloud Services
SQL Databases
Snowflake
Data Analytics
Star Schema
Data Management
Databricks
Job description
We are seeking an experienced Information Architect with healthcare domain expertise to support enterprise analytics across laboratory, clinical, and operational data. This role partners with Data Engineering, Analytics, and AI teams to design analytics-ready data models, enable trusted data, and improve data discoverability using modern, AI-assisted metadata capabilities.
Responsibilities
- Design and maintain analytics-focused data models, including:
*
- Star schema / dimensional models for reporting and BI
-
Relational data models supporting enterprise analytics
- Partner with data and analytics teams to transform complex healthcare and lab data into clear, usable information
- Support semantic models, KPIs, and metric standardization across analytics platforms
- Contribute to data catalog, dictionary, and lineage using AI-enabled tools for improved discovery and trust
- Collaborate with business and technical stakeholders to ensure shared definitions and consistent data usage
- Support data governance, quality, and compliance standards (e.g., HIPAA)
Requirements
- Bachelor’s degree, * 5 or more years of experience in Information Architecture or Data Architecture
- 1 or more years of experience with Star schema and dimensional modeling
- 1 or more years of experience with Relational database design
- 1 or more years of experience with SQL and analytics platforms
Additional job standards
- Experience in healthcare, diagnostics, or clinical data
- Exposure to AI-assisted data management, metadata, catalog, or lineage tools
-
Strong communication skills and ability to bridge business and technical teams
- Experience with cloud data platforms (Azure, AWS, Snowflake, Databricks)
- Familiarity with BI tools (Power BI)
- Experience with data governance or enterprise metadata platforms
- Background supporting advanced analytics or AI/ML use cases
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