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About the Role

Tempus is seeking a Data Architect to design the structural backbone of a high-scale, multi-modal healthcare data ecosystem. You will be responsible for architecting data environments that serve massive networks of hospitals, ensuring that diverse data types are seamlessly accessible to autonomous AI agents. Our goal is to move beyond static data warehousing to create a dynamic, "agent-ready" data fabric that supports real-time clinical evaluation at an enterprise scale.

Responsibilities

Lead the design and management of an enterprise data model that integrates complex domains including clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).
Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.
Design data access patterns and metadata layers specifically optimized for AI agents, allowing them to autonomously discover, query, and reason over structured and unstructured datasets.
Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).
Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring "ground truth" for agentic evaluations.
Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.

Requirements

Bachelor’s Degree in Computer Science, Health Informatics, or a related field.
7+ years in data architecture or enterprise modeling, with significant experience in the healthcare or life sciences domain.
Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.
Exceptional SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.
Ability to articulate the trade-offs between RDBMS, MPP, and NoSQL technologies, and experience implementing Master Data Management (MDM) solutions.
Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.
Proficiency with modeling tools such as Erwin, Vertabelo, or Lucidchart.

Skills

Data Architecture
Enterprise Modeling
Healthcare Data
Life Sciences Data
3NF
Dimensional Modeling
Star Schema
Data Vault 2.0
SQL
Python
RDBMS
MPP
NoSQL
Master Data Management (MDM)
HL7
FHIR
Epic
Cerner
Erwin
Vertabelo
Lucidchart
Vector Databases
Graph Databases
RAG
GCP
BigQuery
Vertex AI
AWS
EHR
OMOP
DICOM
Genomic Data Models
Longitudinal Patient Records

Location

California
Colorado
Illinois
New York
Los Angeles

Work Type

Remote

Experience Level

7+ years

Education Level

Bachelor’s Degree

Salary/Compensations

$140,000-$190,000 (Chi)
$150,000-$200,000 (NYC/SF)

Benefits

Incentive compensation
Restricted stock units
Medical
Other benefits depending on the position

About the Company

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Equal Opportunity

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.