Senior Data & AI Lakehouse Architect - HealthCare

A premier, mission-driven healthcare system leading the charge in digital transformation and data-driven clinical excellence is seeking a Senior Data & AI Architect to lead the vision, design, and deployment of its enterprise AI-Ready Data Lakehouse . This high-impact, hands-on role bridges clinical datasets with advanced ML/Generative AI to build scalable, domain-driven data architectures. Key Responsibilities Drive Strategy & Architecture: Lead the enterprise data roadmap and implement modern patterns (Medallion, Data Mesh, Data Fabric, Domain-Driven Design). Build AI Infrastructure: Architect a modern Lakehouse (supporting structured, semi-structured, and unstructured data) optimized for LLMs, MLOps, and predictive analytics. Establish Governance: Define standards for data quality, security, privacy, and compliance across clinical and administrative domains. Provide Leadership: Partner with executive leadership and technical teams to treat data as a core enterprise asset. Requirements Experience: 12+ years of hands-on leadership in modern Data Architecture, Data Lakehouses, Modeling, Integration, and Governance—with direct experience in a healthcare environment. Database & Cloud Stack: 4+ years of deep expertise in Snowflake , SQL, Oracle, and SQL Server, with strong experience in AWS environments. Data Pipelines & Engineering: Hands-on proficiency with modern ELT toolsets (e.g., Matillion, dbt Cloud, Python). AI/ML Familiarity: Functional understanding of MLOps frameworks, feature engineering pipelines, and preparing data ecosystems for AI/ML workloads. Healthcare Data Mastery: Strong ability to translate complex clinical, operational, and administrative datasets into high-value enterprise data products. Security & Compliance: In-depth knowledge of healthcare data privacy, encryption standards, HIPAA compliance, and access management. Please Note: Position is remote in the Eastern or Central Time zones with occasional travel to the New York City area