Job Description

Our client is looking for a Data Architect focused on the evolution of a next generation integrated care platform that will support multiple partners, customers, programs, and clinical conditions through a single configurable interface. The Data Architect is responsible for designing, implementing, and governing enterprise data architecture across clinical, operational, financial, and analytical systems.

This role leads the development of scalable data platforms, integration strategies, and information governance practices that enable data-driven decision making throughout the organization. The Data Architect partners closely with Product, Engineering, Clinical Operations, Analytics, and Business stakeholders to ensure secure, reliable, and high performing data solutions that support organizational growth and innovation. Responsibilities include:

• Lead the design, development, and implementation of enterprise data architecture for the Integrated Care Solution (ICS) 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.

Qualifications

• 8-10+ years of experience designing and implementing enterprise data platforms and architectures.
• Strong experience with the Python language and overall platform.
• 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 with Tableau is strongly preferred.
• 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 is strongly preferred.
• Strong understanding of data governance, data quality management, metadata management, and master data management principles.
• Healthcare data management experience is required for this position.
• Excellent written and verbal communication skills.

Additional Information

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