Job Opportunity Posted yesterday

Data & Integration Architect – Healthcare & Cloud

StarZen
Haryana

Job Description

About the role


Architect for enterprise data and integration platforms. Owns HL7 v2.x / FHIR interfaces, Mirth Connect channels, RDBMS and cloud data platforms (MS SQL, PostgreSQL, Azure Data Factory, Databricks, Synapse / Fabric), event-driven backbones (Kafka / Event Hubs), and AI-grade data pipelines built on vector databases and RAG ingestion patterns.



Duties & Responsibilities


  • Own end-to-end integration architecture: HL7 v2.x, CCD/CDA, FHIR R4, REST, GraphQL, Kafka / Event Hubs.
  • Lead Mirth Connect (NextGen) channel design, transformers, filters and monitoring.
  • Design and maintain MS SQL Server (with AlwaysOn) and PostgreSQL schemas, indexes, stored procedures and partitioning strategies.
  • Architect cloud data platforms on Azure Data Factory, Databricks, Synapse / Microsoft Fabric.
  • Design AI-grade pipelines: chunking, embeddings, vector stores (pgvector, Pinecone, Milvus, Weaviate) and RAG ingestion.
  • Define data quality, deduplication, master data and identity-resolution rules.
  • Orchestrate onboarding of new interfaces and data sources.
  • Ensure security, audit, PII/PHI and data-protection compliance across all flows.


SKILLS & ABILITIES


  • Strong data modeling and SQL performance tuning (MS SQL mandatory; PostgreSQL preferred).
  • Deep HL7 v2.x and CCD/CDA experience; working FHIR R4 expertise.
  • Hands-on Mirth Connect (NextGen) channel and transformer development.
  • Experience with cloud data platforms: Azure Data Factory, Databricks, Synapse / Fabric.
  • Hands-on with Kafka / Event Hubs and event-driven design.
  • Working knowledge of vector databases and RAG ingestion patterns.


POTENTIAL BACKGROUND


  • Bachelor's in CS / Engineering or related (Master's preferred).
  • 8+ years in data and integration architecture.
  • Mandatory hands-on HL7 v2.x and Mirth Connect experience.
  • Healthcare or large-scale public-sector integration background preferred.
  • Exposure to AI/ML data pipelines is a strong plus.


PREFERRED TOOLS / SOFT SKILLS

Preferred tools:

  • Mirth Connect (NextGen)
  • MS SQL Server (AlwaysOn), PostgreSQL
  • Azure Data Factory, Databricks, Synapse / Microsoft Fabric
  • Kafka, Azure Event Hubs
  • pgvector, Pinecone, Milvus, Weaviate
  • HL7 Inspector, Postman, Git


Soft skills:

  • Rigorous and traceability-focused
  • Strong documentation discipline
  • Calm in integration incident bridges
  • Collaborative cross-vendor
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