WRS Health

Clinical Data Architect

WRS Health

contract

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSCloud

About the role

  • Define and implement enterprise-wide data architecture strategy supporting interoperability, AI/ML readiness, and regulatory compliance
  • Lead evolution of AWS-based data lake architecture for structured, semi-structured, and unstructured data, especially FHIR JSON healthcare data
  • Design and maintain scalable, secure, cost-effective data lakes using S3, Glue, Athena, Redshift, Lake Formation and Mountpoint for S3
  • Optimize storage and retrieval (partitioning, Parquet/ORC, compression) for performance and cost-efficiency
  • Collaborate with data science to implement embedding models, vectorization pipelines, and real-time inference architectures
  • Design/manage vector storage (S3-based, FAISS, Pinecone, OpenSearch) for semantic search and RAG
  • Architect ingestion, processing, normalization, and enrichment pipelines for FHIR/HL7 and EHR/API sources
  • Ensure data security at rest/in transit using AWS encryption, IAM, VPC, bucket policies; implement access controls and audit logging
  • Oversee data governance, lineage, cataloging, and stewardship; promote data literacy and lead a team of data architects/engineers

Requirements

  • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
  • 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role
  • Proven experience architecting AWS-based data lakes and analytics pipelines (Amazon S3, AWS Glue, Athena, Redshift, Lake Formation)
  • Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects at scale
  • Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions (FAISS, Pinecone, Amazon OpenSearch, S3-based vectors)
  • Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost
  • Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST)
  • Experience implementing data governance, lineage, cataloging (AWS Glue Data Catalog, Lake Formation)
  • Leadership experience building and managing data architect/engineer teams and cross-functional collaboration
  • Preferred: AWS certifications (Big Data/Data Analytics), familiarity with open-source vector DBs (FAISS, Weaviate), MLOps pipelines, clinical systems integration, claims processing, or population health analytics