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Data Modeler / Data Architect – Healthcare (Snowflake, Cloud, AI/ML) - 26-01713

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Data Modeler / Data Architect – Healthcare (Snowflake, Cloud, AI/ML) Location: Remote, NY Duration: 3 Months (Possible Extension) Position Overview We are seeking an experienced Data Modeler / Data Architect with deep expertise in the healthcare domain to design, implement, and govern enterprise data models and cloud-native data architectures. This role will support data warehouses, data marts, analytics, reporting, and AI/ML initiatives across Provider, Payer, and Clinical domains. The ideal candidate will have strong hands-on Snowflake expertise, healthcare interoperability knowledge (FHIR, HL7, X12, DICOM), and experience designing scalable data platforms that support structured, unstructured, and vector data workloads.

Key Responsibilities

Enterprise Data Modeling & Architecture

  • Design and maintain conceptual, logical, and physical data models using Erwin
  • Define enterprise modeling standards, naming conventions, and governance practices
  • Perform reverse engineering of physical models from databases and SQL scripts
  • Develop strategies to reduce technical debt and redundant data pipelines
  • Establish data contracts and governance frameworks

Dimensional Modeling & Data Warehousing

  • Design and implement dimensional models (Star Schema, Snowflake Schema)
  • Build scalable data warehouses and data marts for analytics and reporting
  • Optimize structures for performance, scalability, and minimal redundancy
  • Support enterprise analytics and AI/ML feature engineering

Cloud-Native Data Platform & Snowflake Engineering

  • Architect cloud-based platforms on AWS/Azure
  • Leverage Snowflake-native features:
  • Dynamic Tables
  • Streams
  • Tasks
  • Iceberg Tables
  • Develop and optimize:
  • Advanced SQL
  • Stored procedures
  • Data ingestion and transformation pipelines
  • Implement cost optimization strategies (credit usage & warehouse right-sizing)
  • Ensure high-performance Snowflake architectural patterns

Healthcare Data & Interoperability

  • Lead source data mapping into:
  • FHIR (exchange)
  • OMOP (research/analytics)
  • Ensure compliance with:
  • LOINC
  • SNOMED
  • ICD-10
  • Work across healthcare data types including:
  • Clinical records
  • Claims data (X12)
  • HL7 interfaces
  • Medical imaging (DICOM & non-DICOM)
  • ECG/EEG waveforms
  • Audio & video clinical transcripts
  • Experience with i2b2 is a plus

AI/ML Data Architecture

  • Design cloud-native AI/ML data platforms
  • Enable scalable feature engineering, model training, and inference
  • Collaborate with Data Scientists and ML Engineers
  • Support vector and multi-model database architectures

Data Governance & Quality

  • Implement data profiling and advanced data analysis techniques
  • Ensure data quality, integrity, security, and compliance
  • Develop performance and cost governance frameworks
  • Maintain enterprise metadata standards

Cross-Functional Collaboration

  • Analyze how data flows across systems and business domains
  • Identify system errors, deficiencies, and improvement opportunities
  • Coordinate testing, system patches, and upgrades
  • Create user documentation and training materials
  • Evaluate emerging technologies and provide implementation strategies

Required Experience

  • 7+ years in Data Architecture, Data Modeling, or Data Warehousing
  • 3+ years in Healthcare Domain
  • FHIR
  • HL7
  • X12
  • DICOM
  • OMOP
  • 2+ years deep Snowflake hands-on experience
  • Strong SQL and data profiling expertise
  • Experience designing multi-model data architectures
  • Experience in AWS and/or Azure environments

Preferred Experience

  • Experience with Data Mesh or Lakehouse architectures
  • Experience with i2b2 data models
  • Experience with vector databases and AI/ML workloads
  • Experience managing Total Cost of Ownership (TCO) in cloud environments

Educational Requirements

  • Bachelor’s Degree in:
  • Computer Science
  • Systems Engineering
  • Applied Mathematics
  • Business Administration
  • Economics/Statistics
  • Telecommunications
  • Data Communications
  • Or related field

OR

  • Equivalent combination of education, training, and progressive experience

Minimum five (5) years of progressive experience in data processing, computer systems, and applications required. Core Competencies

  • Enterprise Data Architecture
  • Healthcare Data Standards & Interoperability
  • Snowflake Engineering & Optimization
  • Dimensional Modeling
  • Cloud Data Platforms (AWS/Azure)
  • AI/ML Data Enablement
  • Data Governance & Quality Management
  • Cross-Functional Collaboration

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