WRS Health

Lead Data Architect

WRS Health

contract

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSCloud

About the role

  • Lead data platform strategy and AWS-based data lake architecture across healthcare data.
  • Design and maintain scalable, secure data lakes using AWS services (S3, Glue, Athena, Redshift, Lake Formation).
  • Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.
  • Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (Parquet, ORC), and compression techniques.
  • Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.
  • Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, RAG, and intelligent data access.
  • Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.
  • Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.
  • Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.
  • Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.
  • Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.
  • Implement and manage data access controls, audit logging, and role-based security models across AWS environments.
  • Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.
  • Build and lead a high-performing team of data architects and engineers.
  • Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.
  • Promote data literacy and foster a culture of innovation and continuous improvement.

Requirements

  • 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.
  • Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.
  • Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.
  • 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).
  • Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).
  • Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.
  • Experience in clinical systems integration, claims processing, or population health analytics.