Data Architect, Next Platform

Tempus Inc
Chicago, IL, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$140,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Cerner Third Normal Form Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services BigQuery Health Informatics Clinical Data Repository Cloud Engineering Data Architecture Data Dictionary Information Engineering
+28 more
Data Infrastructure Data Integrity Data Profiling Data Security Data Structures Data Systems Data Vault Modeling Relational Databases Software Debugging Dicom Entity Relationship Models Graph Database Interoperability Python (Programming Language) NoSQL Software Tools Lucidchart Standard Sql Unstructured Data Openapi Sql Optimization Fast Healthcare Interoperability Resources System Availability Microsoft Fabric Information Technology Star Schema Health Level Seven International Static Data

Job description

We are 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-ranging from structured EHR records to unstructured genomic and imaging data-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.

What You’ll Do

  • Multi-Modal Architecture: 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).
  • Scale for Hospital Networks: Architect data solutions designed to scale across federated networks of hospitals, ensuring multi-tenancy, high availability, and performance across hybrid cloud environments.
  • Enable Agentic Workflows: 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.
  • Schema & API Ownership: Author and maintain entity-relationship diagrams (ERDs), data dictionaries, and API specifications across multiple technologies (Relational, NoSQL, Vector Databases).
  • Data Quality & Traceability: Implement automated solutions to monitor data quality and lineage with strict traceability back to source systems, ensuring “ground truth” for agentic evaluations.
  • Technical Advocacy: Educate engineering and clinical teams on data modeling standards, governance, and best practices for maintaining data integrity in a HIPAA-regulated environment.

Requirements

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

Bonus Points

  • AI Data Engineering: Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory.
  • Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.
  • Specialized Clinical Data: Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.

Benefits & conditions

Chi: $140,000-$190,000

NYC/SF: $150,000-$200,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

About the company

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics.

We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same-to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.

Why Work Here?

We’re looking for people who can change the world.

Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.

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