Lead the design, development, and implementation of enterprise data architecture for the new platform
Architect scalable data platforms supporting daily operations, clinical management, reporting, and analytics
Leverage AI technology to design the system, develop the system, and maximize efficiency of operations
Design and maintain enterprise data models, including conceptual, logical, and physical data architectures
Define and implement data integration patterns across Microsoft Dynamics, EHR/EMR systems, claims systems, and third-party applications
Design and oversee ETL/ELT processes to ingest, transform, validate, and distribute data across enterprise systems
Establish data governance standards, metadata management practices, data quality frameworks, and master data management strategies
Collaborate with Engineering teams to design modern cloud-based data solutions leveraging Azure data services
Architect data lake, data warehouse, and data mart solutions to support reporting and advanced analytics needs
Ensure solutions comply with HIPAA, HITRUST, privacy, security, commercial, and regulatory requirements
Partner with business stakeholders to translate strategic objectives into scalable data solutions
Other duties as assigned

Minimum of 10 years of experience designing and implementing enterprise data platforms and architectures
Strong experience with the Python language
Extensive experience with Azure Data Platform technologies, including Azure Data Factory (ADF), Azure Functions, Power Platform, Azure Synapse Analytics, Azure SQL, Azure Data Lake Storage, and Databricks
Strong experience designing data warehouses, data lakes, lakehouse architectures, and enterprise reporting platforms
Strong experience creating and utilizing HTTP web service APIs, webhooks, and GraphQL
Deep understanding of data modeling methodologies, including dimensional modeling, normalized designs, and modern analytical data structures
Experience with business intelligence platforms such as Tableau, Power BI, and Microsoft Fabric
Experience designing and implementing large-scale ETL/ELT solutions
Strong knowledge of SQL, data integration technologies, APIs, and event-driven architectures
Experience with healthcare data standards and operational healthcare datasets
Strong understanding of data governance, data quality management, metadata management, and master data management principles
Excellent written and verbal communication skills
Must live in the continental United States only

Data Architect – Contract

Key skills