- Lead the design and management of an enterprise data model
- Architect data solutions designed to scale across federated networks of hospitals
- Design data access patterns and metadata layers optimized for AI agents
- Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications
- Implement automated solutions to monitor data quality and lineage
- Educate engineering and clinical teams on data modeling standards
Requirements
- 7+ years in data architecture or enterprise modeling
- Bachelor’s Degree in Computer Science, Health Informatics, or a related field
- Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques
- Exceptional SQL skills for complex analytical environments
- Proficiency in Python for data profiling and debugging
- Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies
- Deep familiarity with HL7, FHIR, and Epic/Cerner data structures
- Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart
Core Competencies
Demonstrates expertise in enterprise data modeling and architecture, with a strong focus on designing scalable data solutions for healthcare environments. Proficient in SQL, Python, and various modeling tools, while possessing deep knowledge of healthcare data standards and structures.
Highest-signal resume keywords
- Data Architecture
- SQL Proficiency
- Python Programming
- 3NF And Dimensional Modeling
- HL7 And FHIR Familiarity
Hard Skills
- Data Modeling
- Entity-Relationship Diagrams
- Data Quality Monitoring
- Data Lineage Implementation
- Data Access Patterns
- Automated Solutions
- API Specifications
- Data Vault 2.0 Modeling
- Dimensional Modeling
- Complex Analytical Environments
Soft Skills
- Education And Training
- Communication Skills
Industry Keywords
- Health Informatics
- Epic
- Cerner
- Federated Networks
- AI Agents
Tools & Technologies
- Erwin
- Vertabelo
- Lucidchart
- RDBMS
- MPP
- NoSQL