Data Architect

• 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

• 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 No
  
  SQL technologies
• Deep familiarity with HL7, FHIR, and Epic/Cerner data structures
• Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart

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.

• Data Architecture
• SQL Proficiency
• Python Programming
• 3NF And Dimensional Modeling
• HL7 And FHIR Familiarity

• 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

• Education And Training
• Communication Skills

• Health Informatics
• Epic
• Cerner
• Federated Networks
• AI Agents

• Erwin
• Vertabelo
• Lucidchart
• RDBMS
• MPP
• No
  
  SQL