Senior Data & AI Lakehouse Architect - HealthCare
Sud Recruiting · New York, New York, United States
FULL TIME
Job Description
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.
Is this your next job Read the full description below to find out, and do not hesitate to make an application.
Key ResponsibilitiesDrive 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.
RequirementsExperience: 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. xzbcwsv 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
Is this your next job Read the full description below to find out, and do not hesitate to make an application.
Key ResponsibilitiesDrive 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.
RequirementsExperience: 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. xzbcwsv 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
Details
| Company | Sud Recruiting |
| Location | New York, New York, United States |
| Type | FULL TIME |
| Niche | general |