Remote Senior Data & AI Architect for Healthcare Lakehouse

Sud Recruiting; New York (NY); Remoto; USD 150.000 - 210.000; Tempo integral

Resumo da vaga

Sud Recruiting is seeking a seasoned Senior Data and AI Architect for a leading hospital and healthcare system. You will design and implement an AI-ready data Lakehouse, define enterprise data strategy, governance, and integration standards across the organization.

You will drive data architecture vision, establish governance across domains, and guide cloud-native platforms for ML and generative AI workloads, with hands-on leadership in Snowflake, ETL tools, and analytics stacks.

Qualificações

• 12+ years in modern data architecture with healthcare experience.
• Hands-on experience building data lakehouse, governance and enterprise data models across domains.
• Strong Snowflake, SQL, Oracle and SQL Server skills.
• Experience with EPIC Cogito Analytics stack (Clarity, Caboodle).
• Cloud ELT experience with Matillion, dbt Cloud and Python.

Responsabilidades

• Lead the enterprise data strategy and roadmaps for the architecture.
• Establish data governance, models, and integration patterns with data quality and privacy.
• Design and implement an AI-ready Lakehouse for structured, semi-structured, and unstructured data.
• Evaluate technologies for data engineering and AI enablement (e.g., Iceberg/Delta Lake).
• Provide thought leadership on emerging data and AI trends.
• Build scalable cloud-native platforms for advanced analytics, ML, and AI workloads.

Conhecimentos

Data Architecture

Data Modeling

Data Integration

Data Governance

ELT Tools

ML/AI Familiarity

Cloud AWS

Formação

Bachelor's or Master's in CS/Engineering

Ferramentas

Snowflake

SQL

Oracle

SQL Server

Epic Cogito Analytics (Clarity Caboodle)

Matillion

dbt Cloud

Python

AWS

Descrição da vaga

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