• Data Platform Management: Design, build, and maintain scalable, efficient ETL/ELT data pipelines integrating data from multiple source systems (e.g., EMR, nursing, financial, CRM, and operational platforms). • Cloud and Architecture: Build and manage modern data architectures leveraging Azure Cloud services (Azure Data Factory, Data Lake, Synapse) and Snowflake. Oversee schema design, data ingestion, and performance optimization. • Snowflake Administration: Manage Snowflake environments including user roles, warehouses, performance tuning, resource monitoring, and administrative tooling. • Domain Data Modeling: Develop and maintain domain-driven data models that reflect business structures and relationships across key functional areas. • Data Marts and Consumption: Build and optimize business-unit-centric data marts that enable self-service analytics, data visualization, and decision support. • Integration and Interoperability: Design and implement integration patterns to unify data across structured and unstructured sources, APIs, and third-party systems. • AI and Advanced Analytics: Leverage large language models (LLMs) and other AI/ML techniques to analyze curated datasets, identify trends, and drive actionable insights. • Data Quality and Governance: Establish and maintain data validation, reconciliation, and governance processes to ensure accuracy, consistency, and compliance with security and regulatory requirements. • Automation and Monitoring: Automate data workflows and build proactive monitoring and alerting frameworks for data pipeline health and performance. • Visualization and Reporting: Develop and maintain Power BI dashboards and semantic models that translate data into clear, business-relevant insights. • DevOps Enablement: Implement Azure DevOps and CI/CD practices for version control, testing, and automated deployment of data solutions. • Documentation and Collaboration: Maintain clear technical documentation for pipelines, data models, and architecture. Collaborate cross-functionally with business and technology teams to align data initiatives with strategic objectives.