Note: The job is a remote job and is open to candidates in USA. Fractal is a strategic AI partner to Fortune 500 companies, aiming to enhance human decision-making through innovative technology. The Lead Data Engineer will design and implement healthcare data platforms on Microsoft Azure, ensuring compliance and quality while collaborating with various stakeholders to drive data transformation 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
- 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
Skills
- 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
Benefits
- Eligible for a discretionary bonus for the current performance period
- Eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time
- Eligible for benefits on the first day of employment with the Company
- Eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms
- 11 paid holidays
- 12 weeks of Parental Leave
- “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation
Company Overview