Remote Data Architect for Agent-Ready Health Platform

Tempus; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

Tempus is seeking a Data Architect to design the backbone of a high-scale, multi-modal healthcare data ecosystem. You will architect data environments serving massive hospital networks across structured EHRs, genomics, and imaging data to enable real-time AI-driven insights.

Responsibilities include enterprise data model design, schema ownership, and metadata layers optimized for autonomous AI agents, with emphasis on data quality, traceability, and governance within HIPAA guidelines.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• 7+ years in data architecture or enterprise modeling, healthcare domain.
• Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling.
• Advanced SQL skills for complex analytics and Python for data profiling.
• Ability to articulate trade-offs between RDBMS, MPP, and NoSQL, and implement MDM solutions.
• Familiarity with HL7, FHIR, and Epic/Cerner data structures.
• Proficiency with ER/diagram tools such as Erwin, Vertabelo, or Lucidchart.

Responsibilities

• Lead enterprise data model design for multi-modal healthcare data.
• Scale data solutions across federated hospital networks with multi-tenancy and high availability.
• Design data access patterns and metadata layers for AI agents.
• Own ERDs, data dictionaries, and API specs across Relational, NoSQL, and Vector DBs.
• Ensure data quality and lineage with traceability to source systems.
• Educate teams on governance and HIPAA-compliant data practices.

Skills

SQL

Python

Data modeling

3NF

Data Vault 2.0

HL7/FHIR

Education

Bachelor’s Degree in Computer Science, Health Informatics, or related field

Tools

Erwin

Vertabelo

Lucidchart

Job description

Tempus is seeking a Data Architect to design the backbone of a high-scale, multi-modal healthcare data ecosystem. You will architect data environments serving massive hospital networks across structured EHRs, genomics, and imaging data to enable real-time AI-driven insights.

Responsibilities include enterprise data model design, schema ownership, and metadata layers optimized for autonomous AI agents, with emphasis on data quality, traceability, and governance within HIPAA guidelines.