Data Architect, Next Platform

What you'll do

• Design enterprise data models integrating EHR, genomic, and cardiovascular imaging data, and architect for federated hospital networks and hybrid cloud.
• Build data access patterns, metadata layers, schemas, and API specifications to support AI-agent discovery and querying.
• Implement data quality and lineage monitoring, and advise teams on modeling standards, governance, and data integrity.

What they ask for

• Bachelor’s Degree in Computer Science, Health Informatics, or a related field.
• 7+ years in data architecture or enterprise modeling, with significant healthcare or life sciences experience.
• Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling; exceptional SQL and proficiency in Python.
• Deep familiarity with HL7, FHIR, and Epic/Cerner data structures; experience implementing MDM solutions and proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.

Nice to have

• Experience with Vector databases or Graph databases to support RAG and agentic memory.
• Hands-on experience with GCP or AWS healthcare-native services; direct experience with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.

Pay

$140,000-$190,000 (base salary); $150,000-$200,000 (base salary)

Tools

SQL, Python, HL7, FHIR, Epic, Cerner, Erwin, Vertabelo

AI focus

Designs data access patterns and metadata layers for AI agents to discover, query, and reason over datasets; supports agentic evaluations and RAG or agentic memory.