Lead Data Engineer - Healthcare

Fractal is a strategic AI partner to Fortune 500 companies, aiming to empower human decision-making in enterprises. They are seeking a Lead Data Engineer with expertise in Azure and the healthcare domain to design and implement scalable data platforms while ensuring compliance with healthcare regulations.

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
• Define and implement enterprise Data Quality (DQ) frameworks
• Establish DQ controls for completeness, consistency, accuracy, timeliness, and reconciliation
• Build automated validation and monitoring mechanisms
• Enable data lineage, metadata management, and governance practices
• Collaborate with governance teams to improve data reliability and trust
• 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
• Collaborate with business leaders, product owners, architects, and engineering teams
• Translate business requirements into scalable technical solutions
• Lead client discussions, architecture reviews, and technical workshops
• Provide technical leadership and mentoring to engineering teams
• Manage communication with cross-functional stakeholders and leadership

Requirements:

• 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
• Strong hands-on expertise in Azure Data Factory (ADF)
• Strong hands-on expertise in Azure Databricks
• Strong hands-on expertise in Azure Synapse Analytics
• Strong hands-on expertise in Azure Data Lake Storage (ADLS)
• Strong hands-on expertise in Azure SQL Database
• Strong hands-on expertise in Azure Functions
• Strong hands-on expertise in Azure DevOps
• Strong hands-on expertise in Azure Monitor
• Strong hands-on expertise in 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
• Experience implementing enterprise Data Quality frameworks
• Strong understanding of data validation, reconciliation, profiling, and monitoring
• Experience with DQ tools/frameworks such as Great Expectations, Deequ, Informatica DQ, or custom frameworks
• Understanding of data governance and observability
• Strong experience in Healthcare domain projects
• Knowledge of healthcare data models and workflows
• Understanding of EMR/EHR, claims, patient, provider, and clinical data
• Familiarity with healthcare compliance and data privacy standards
• Experience supporting healthcare analytics and reporting platforms
• Collaborate with business leaders, product owners, architects, and engineering teams
• Translate business requirements into scalable technical solutions
• Lead client discussions, architecture reviews, and technical workshops
• Provide technical leadership and mentoring to engineering teams
• Manage communication with cross-functional stakeholders and leadership
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Professional
• Healthcare or Data Governance certifications preferred
• Experience working with healthcare providers, payers, or life sciences organizations
• Exposure to AI/ML healthcare data platforms
• Experience with cloud governance and security frameworks
• Familiarity with Agile/Scrum methodologies
• Client-facing consulting experience