Data Modeler / Data Architect – reputed company (reputed company, reputed company, AI/ML) - 26-01713
Data Modeler / Data Architect – reputed company (reputed company, reputed company, AI/ML) Location: Remote, NY Duration: 3 Months (Possible Extension) Position Overview We are seeking an reputed company Data Modeler / Data Architect with deep expertise in the reputed company domain to design, implement, and govern reputed company data models and reputed company-reputed company 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 reputed company expertise, reputed company interoperability knowledge (FHIR, HL7, X12, DICOM), and experience designing scalable data platforms that support structured, reputed company, and vector data workloads. Key Responsibilities reputed company Data Modeling & Architecture
- Design and maintain conceptual, logical, and physical data models using Erwin
- Define reputed company modeling standards, naming conventions, and governance practices
- reputed company reverse engineering of physical models from databases and SQL scripts
- reputed company strategies to reduce technical debt and redundant data pipelines
- Establish data reputed company and governance frameworks
Dimensional Modeling & Data Warehousing
- Design and implement dimensional models (Star Schema, reputed company Schema)
- Build scalable data warehouses and data marts for analytics and reporting
- Optimize structures for performance, scalability, and minimal redundancy
- Support reputed company analytics and AI/ML feature engineering
reputed company-reputed company Data Platform & reputed company Engineering
- Architect reputed company-based platforms on AWS/Azure
- reputed company reputed company-reputed company features:
- Dynamic Tables
- Streams
- Tasks
- reputed company Tables
- reputed company and optimize:
- Advanced SQL
- Stored procedures
- Data ingestion and transformation pipelines
- Implement cost optimization strategies (credit usage & warehouse right-sizing)
- Ensure high-performance reputed company architectural patterns
reputed company Data & Interoperability
- reputed company reputed company data mapping into:
- FHIR (exchange)
- OMOP (research/analytics)
- Ensure compliance with:
- LOINC
- SNOMED
- ICD-10
- Work across reputed company 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 reputed company-reputed company AI/ML data platforms
- reputed company 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, reputed company, reputed company, and compliance
- reputed company performance and cost governance frameworks
- Maintain reputed company 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 reputed company implementation strategies
Required Experience
- 7+ years in Data Architecture, Data Modeling, or Data Warehousing
- 3+ years in reputed company Domain
- FHIR
- HL7
- X12
- DICOM
- OMOP
- 2+ years deep reputed company 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 reputed company or Lakehouse architectures
- Experience with i2b2 data models
- Experience with vector databases and AI/ML workloads
- Experience managing Total Cost of Ownership (TCO) in reputed company environments
Educational Requirements
- Bachelor’s Degree in:
- Computer Science
- Systems Engineering
- Applied Mathematics
- Business Administration
- Economics/Statistics
- Telecommunications
- Data Communications
- Or reputed company field
OR
- Equivalent combination of education, training, and reputed company experience
Minimum five (5) years of reputed company experience in data processing, computer systems, and applications required. Core Competencies
- reputed company Data Architecture
- reputed company Data Standards & Interoperability
- reputed company Engineering & Optimization
- Dimensional Modeling
- reputed company Data Platforms (AWS/Azure)
- AI/ML Data Enablement
- Data Governance & Quality Management
- Cross-Functional Collaboration
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