Responsibilities Lead enterprise data engineering and platform modernization initiatives across clinical, operational, financial, and research environments Define architectural roadmaps, governance standards, and long-term platform strategy Support AI/ML enablement, Azure cloud initiatives, and enterprise analytics modernization Oversee scalable data pipelines, enterprise integrations, and cloud-based analytics ecosystems Evaluate and implement modern technologies to improve scalability, performance, and operational efficiency Manage ETL/ELT pipelines and modern orchestration frameworks Support enterprise data lake, warehouse, and analytics platforms Collaborate with infrastructure, security, analytics, and application teams on enterprise integration strategies Ensure platform reliability, scalability, security, and performance across hybrid and cloud environments Partner with clinical, operational, and analytics stakeholders to align data initiatives with organizational priorities Lead data mapping, governance, and healthcare data standardization efforts Lead and mentor a blended team of FTEs, contractors, and consultants Requirements 10 years of experience in data engineering, enterprise data architecture, or analytics platforms 2 years of technical leadership experience within complex enterprise environments Healthcare industry experience required Strong experience with Azure cloud technologies and modern data engineering ecosystems Experience building enterprise-scale data platforms and architectural roadmaps Experience with Databricks, Snowflake, Microsoft Fabric, Spark, Kafka, or Airflow Strong stakeholder management and executive communication skills Experience operating within large, multi-entity enterprise environments #J-18808-Ljbffr
