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 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 #J-18808-Ljbffr Jobtailor