Data Architect

Tempus AI

Data Architect specializing in healthcare data ecosystems, focusing on AI and clinical care advancements. Leading enterprise data models and architecting scalable solutions for hospital networks.

Posted 7/29/2026full-timeChicago • Illinois, New York • 🇺🇸 United StatesSeniorLead💰 $140,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 ArchitectureSQL ProficiencyPython Programming3NF And Dimensional ModelingHL7 And FHIR Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingEntity-Relationship DiagramsData Quality MonitoringData Lineage ImplementationData Access PatternsAutomated SolutionsAPI SpecificationsData Vault 2.0 ModelingDimensional ModelingComplex Analytical Environments

Soft Skills

Education And TrainingCommunication Skills

Tools & Technologies

ErwinVertabeloLucidchartRDBMSMPPNoSQL

Industry Keywords

Health InformaticsEpicCernerFederated NetworksAI Agents

Tech Stack

Tools & technologies

NoSQLPythonRDBMSSQLVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

incentive compensation
restricted stock units
medical and other benefits depending on the position