Lead Healthcare Integration Engineer

About this role

Lead Healthcare Integration Engineer We are seeking an experienced Lead Data Engineer to join our healthcare technology team with a primary focus on healthcare interoperability. This role will be instrumental in designing, building, and maintaining our Azure-based data infrastructure, including databases, data pipelines, analytics platforms, and business intelligence solutions — with an emphasis on integrating with Electronic Health Record (EHR) systems and healthcare data exchange standards (FHIR, C-CDA, HL7). The ideal candidate will have deep expertise in the Microsoft data stack, strong architectural thinking, and experience with healthcare data compliance requirements. This senior-level position will also provide technical leadership, mentorship to the broader engineering team and reports to the Director of Data Engineering. Duties & Responsibilities: Design and implement scalable, secure data architectures on Azure to support business intelligence, analytics, and operational systems Build and maintain data pipelines using Azure Data Factory, Azure Synapse and related services Contribute to database designs across multiple platforms (Azure SQL Database, SQL Managed Instance, PostgreSQL, CosmosDB) Optimize data storage strategies across Azure Blob Storage, Data Lake, and structured databases Design data models and structures that enable efficient analytics and reporting Design, develop, and maintain complex stored procedures, functions, triggers, and views Implement database DevOps processes including schema versioning, deployment automation, and rollback procedures Perform database performance tuning, indexing strategies, and query optimization Ensure data integrity, security, and compliance with HIPAA/HITRUST requirements for PHI data Manage database lifecycle across development, pre-production, and production environments utilizing RedGate Flyway Design and implement ETL/ELT processes to integrate data from multiple sources Build event-driven data processing solutions including message producers, consumers, and workers using Azure Service Bus, Event Grid, and related messaging services Integrate with external REST APIs for data ingestion and develop internal data APIs using Python (FastAPI/Flask) on Azure Container Apps or Functions Develop data transformation logic and orchestration workflows Ensure data quality, consistency, and lineage across the data platform Integrate with Azure AI services and machine learning endpoints as needed Review designs of Power BI solutions including semantic models, reports, & dashboards Collaborate with stakeholders to translate business requirements into technical solutions Optimize data structures for reporting and analytics performance Provide technical guidance and mentorship to junior developers and engineers Contribute to data engineering best practices, standards, and patterns Participate in architecture reviews and technical decision-making Collaborate with DevOps and Infrastructure teams on platform improvements Drive continuous improvement in data quality, performance, and reliability Create and maintain comprehensive technical documentation including data dictionaries, architecture diagrams, and process flows Document data lineage, transformation logic, and business rules Ensure all data handling practices meet HIPAA/HITRUST compliance requirements Maintain audit trails and documentation for compliance purposes Troubleshoot and resolve complex data-related issues across the platform Provide escalation support for production incidents Collaborate with cross-functional teams to support business operations Participate in on-call rotation as needed Preferred: Build and maintain integrations with EHR systems using FHIR resources (e.g., Patient, DocumentReference) and C-CDA document parsing/transformation Support HL7 v2/MDM/ADT message flows where needed, including message parsing and acknowledgment handling Define and maintain OpenAPI specifications and API versioning; write contr

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