2 дня назад
Data Architect, Next Platform
140 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect, Next Platform (Healthcare Data): Designing the structural backbone of a high-scale, multi-modal healthcare data ecosystem that integrates clinical EHR records, genomics, and cardiovascular imaging for agent-ready, real-time evaluation. Focus on building scalable multi-tenant data environments across hybrid cloud, defining ERDs/data dictionaries/API specs across relational/NoSQL/vector stores, and implementing automated data quality and lineage for HIPAA-regulated traceability.
Location
Location: Chicago
Company
builds a healthcare data platform that connects real-world evidence to deliver actionable clinical insights.
What you will do
- Lead enterprise multi-modal data architecture integrating clinical EHR records, high-throughput genomics (NGS), and cardiovascular imaging (Echo, Cath, ECG).
- Architect data solutions that scale across federated hospital networks with multi-tenancy, high availability, and performance across hybrid cloud environments.
- Design agent-ready data access patterns and metadata layers so AI agents can autonomously discover, query, and reason over structured and unstructured datasets.
- Own schema and interfaces by authoring and maintaining ERDs, data dictionaries, and API specifications across relational, NoSQL, and vector databases.
- Implement automated data quality monitoring and lineage with strict traceability back to source systems to support “ground truth” for agentic evaluations.
- Advocate for data modeling standards, governance, and best practices with engineering and clinical stakeholders in a HIPAA-regulated environment.
Requirements
- Bachelor’s degree in Computer Science, Health Informatics, or a related field.
- 7+ years of experience in data architecture or enterprise modeling, with significant experience in healthcare or life sciences.
- Expert-level knowledge of 3NF, Dimensional (Star Schema), and Data Vault 2.0 modeling techniques.
- Advanced SQL skills for complex analytical environments and proficiency in Python for data profiling and debugging.
- Ability to articulate trade-offs between RDBMS, MPP, and NoSQL, plus experience implementing Master Data Management (MDM) solutions.
- Deep familiarity with HL7, FHIR, and Epic/Cerner data structures.
Nice to have
- Experience with vector databases (e.g., Pinecone, Weaviate, pgvector) or graph databases for RAG and agentic memory.
- Hands-on cloud architecture experience with GCP (BigQuery, Vertex AI) or AWS healthcare-native services.
- Direct experience with EHR, OMOP, DICOM, genomic data models, or longitudinal patient records.
Culture & Benefits
- Full range of benefits, which may include incentive compensation and restricted stock units, plus medical and other benefits depending on the position.
- Salary range: $140,000–$190,000 (Chicago), with location-based variation for other listed locations.
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