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