Domain Delivery Lead- Healthcare

Fractal Analytics•California, CA

1d•$140,000 - $160,000

About The Position

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. We are seeking an experienced Azure Architect with strong Healthcare domain expertise and deep knowledge of Data Engineering, Azure cloud technologies, and Data Quality (DQ) frameworks. The ideal candidate will lead the design and implementation of scalable, secure, and compliant healthcare data platforms on Microsoft Azure. This role requires strong expertise in Azure Data Engineering, Databricks, SQL, stakeholder management, and healthcare data ecosystems including regulatory and compliance considerations. The candidate will work closely with business stakeholders, healthcare SMEs, analytics teams, architects, and engineering teams to drive enterprise-scale cloud data transformation initiatives.

Requirements

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.
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.
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.

Nice To Haves

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.

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.