Azure Data Engineer - Healthcare

Fractal Analytics is a strategic AI partner to Fortune 500 companies focused on powering enterprise decision-making through intelligence. The company is seeking an experienced Azure Data Engineer to lead the design and implementation of scalable, secure, and compliant healthcare data platforms on Microsoft Azure. The role involves architecting data solutions, developing Azure Databricks pipelines, modernizing legacy systems, and supporting healthcare data integration, analytics, and compliance initiatives.

Responsibilities:

• Design enterprise-scale healthcare data platforms on Microsoft Azure
• Architect scalable, secure, and high-performing cloud-native data solutions
• Define end-to-end architecture for ingestion, transformation, storage, governance, and analytics
• Lead modernization and migration of legacy healthcare data systems to Azure
• Ensure architecture aligns with healthcare compliance and governance standards
• Design and implement large-scale ETL/ELT pipelines
• Build batch and real-time data processing solutions using Azure Databricks
• Develop scalable data ingestion frameworks for structured and unstructured healthcare data
• Optimize performance and scalability of Azure data platforms
• Implement Lakehouse/Data Lake architectures using Azure services
• Work with healthcare stakeholders to understand clinical, operational, and analytical data requirements
• Support healthcare data integration initiatives involving EMR/EHR systems, claims, patient, provider, and operational data
• Ensure compliance with healthcare regulations and data privacy standards
• Support healthcare analytics, reporting, and interoperability initiatives

Requirements:

• Note: This Position Is Not Eligible for Immigration Sponsorship at This Time
• Strong hands-on expertise in:
• • Azure Data Factory (ADF)
• • Azure Databricks
• • Azure Synapse Analytics
• • Azure Data Lake Storage (ADLS)
• • Azure SQL Database
• • Azure Functions
• • Azure DevOps
• • Azure Monitor
• • Microsoft Purview / Azure Purview
• • Strong expertise in SQL and Python/PySpark
• • Experience building enterprise-grade ETL/ELT pipelines
• • Strong understanding of data modeling and distributed data processing
• • Experience with Delta Lake and Lakehouse architectures
• • Knowledge of batch and streaming data processing
• • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Healthcare Informatics, or related field
• • 10+ years of IT experience with strong focus on Data Engineering and Cloud Architecture
• • 5+ years of hands-on Azure Data Platform experience
• • Strong experience in Healthcare domain implementations
• • Experience leading enterprise-scale cloud transformation initiatives