Senior Data and AI Architect - Healthcare Innovation

Sud Recruiting; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data Architecture

Data Modeling

Data Integration

Data Governance

ELT Tools

ML/AI Familiarity

Cloud AWS

Education

Bachelor's or Master's in CS/Engineering

Tools

Snowflake

SQL

Oracle

SQL Server

Epic Cogito Analytics (Clarity Caboodle)

Matillion

dbt Cloud

Python

AWS

Job description

Leading hospital and healthcare system that is in the forefront of data and analytics technology transformation initiatives to improve patient outcomes is seeking a seasoned Senior Data and AI Architect. This is a critical, high level hand-on role will be responsible for designing and architecting the organization's AI-ready data Lakehouse, defining modern data architecture patterns, establishing enterprise-wide data strategy, governance, and integration standards across the enterprise

Key Responsibilities:

• Drive the vision data strategy, and roadmap for the enterprise data architecture
• Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity across all systems and departments.
• Design and implement an AI-ready data Lakehouse architecture supporting structured, semi-structured, and unstructured data. Ensure data readiness for LLMs, generative AI, and advanced AI use cases
• Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement e.g, Apache Iceberg or Delta Lake
• Provide thought leadership on emerging data and AI trends.
• Establish scalable, cloud-native data platforms optimized for advanced analytics, ML, and generative AI workloads.

REQUIREMENTS

• Bachelor's or master's degree in computer science, Engineering or similar Competencies:
• Minimum of 12 years of hands-on experience modern Data Architecture, Data Modeling, Data Acquisition, Data Integration, Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data Standardization with recent experience in a health care system
• At least 4 years of strong experience in Snowflake, SQL, Oracle and SQL Server
• Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.)
• Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and Python
• Familiarity with ML/AI platforms, MLOps frameworks, and feature engineering pipelines.
• Experience with cloud providers preferably AWS
• Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management
• Deep expertise in translating complex clinical, operational and administrative datasets into enterprise-grade data products, data modeling techniques and performance analysis & tuning.
• Experience with initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes

Note:

• Position is remote in the Eastern or Central Time zones with occasional travel to the New York City area