• Lead the design, development, and optimization of OCP’s cloud-based data architecture in Azure • Build scalable, automated data pipelines, integrating diverse clinical, financial, and operational data sources • Ensure data quality and consistency across the enterprise • Set technical standards, drive innovation in automation, and position OCP to scale as the organization grows • Design and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse, and Data Lake • Develop reusable ingestion and transformation frameworks to onboard new practices and acquisitions with minimal downtime • Engineer high-performance solutions for large, complex data sets • Optimize workflows to reduce latency, improve resiliency, and control cloud costs • Define and enforce standards for architecture, storage, and orchestration to ensure enterprise-grade scalability • Integrate diverse data sources including EHR, practice management, financials, clinical, marketing, and HR systems • Develop and maintain dimensional and semantic models that support enterprise-wide reporting and analytics • Collaborate with governance leaders to define standardized metrics, rules, and master data across divisions • Mentor junior engineers and analysts, providing technical guidance and code reviews