• Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement • Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations • Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities • Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle • Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency • Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes • Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs, as well as oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets