Principal Data Architect, Research

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⛰️ Colorado, Florida, +5 more states – Remote

⛰️ Colorado – Remote 🐊 Florida – Remote 🌲 North Carolina – Remote 🚗 Michigan – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 12%

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GMH

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2002

🏭 Manufacturing

🔧 Hardware

🔬 Science

Manufacturing • Hardware • Science

GMH is a French manufacturer of hydraulic and electrical equipment for commercial fishing vessels and research ships. Founded in 2002 and based in Marzan, the company designs and builds winches, hydraulic net and pot haulers, handling systems and bespoke marine equipment, offering custom solutions, delivery across France, and support for scientific, work and training boats.

📋 Description

• Provide principal-level data architecture leadership for the research domain • Design and govern scalable, secure, and research-ready data structures for analytics, artificial intelligence, and regulatory-compliant data use • Design the enterprise research data platform, including lakehouse architecture • Define architecture standards for data ingestion, transformation, curation, and publication • Translate Epic Clarity and Caboodle source structures into research-ready architectural patterns and reusable platform components • Establish cloud-native architecture supporting security, resilience, performance, and regulatory requirements • Align platform roadmaps and design decisions with enterprise data strategy, research priorities, and stakeholder requirements • Develop dimensional and normalized data models for research reporting, analysis, and reuse • Translate clinical, operational, device, and waveform data into structured datasets and semantic layers • Define canonical data models and shared business definitions • Apply interoperability standards, including OMOP • Maintain model integrity across curated datasets, marts, and downstream analytical assets • Establish governance frameworks covering lineage, stewardship, access controls, retention, and accountability • Ensure compliance with HIPAA, institutional review board requirements, and organizational policies • Define and apply de-identification, privacy, and security strategies for protected health information and sensitive research data • Direct data quality processes, validation controls, and stewardship practices • Partner with compliance, legal, privacy, and research administration stakeholders • Design data pipelines and platform services for machine learning, generative AI, and advanced analytics • Structure and optimize datasets for model training, validation, inference, and controlled experimentation • Enable scalable analytical environments for repeatable research workflows and exploratory analysis • Support research teams in evaluating analytical use cases and selecting data design approaches • Define architecture standards for responsible AI, reproducibility, transparency, and model governance • Mentor engineers, architects, and analysts • Influence enterprise data standards and architectural direction through design reviews and standards development • Collaborate with information technology, clinical, operational, and research stakeholders • Review technical designs and recommend scalable, maintainable, and compliant architecture patterns • Promote modern data architecture methods, tools, and delivery practices across the enterprise research ecosystem • Report to the Manager, Data Analytics (Research)

🎯 Requirements

• Bachelors degree in related field • 5+ years of job related experience • Candidates must reside in Georgia, Texas, Tennessee, North Carolina, Florida, South Carolina, Michigan, or Colorado • Knowledge of research data platform architecture, including lakehouse architecture • Experience with Epic Clarity and Caboodle • Experience developing dimensional and normalized data models • Knowledge of clinical, operational, device, and waveform data • Knowledge of interoperability standards, including OMOP • Experience with data governance, lineage, stewardship, access controls, retention, and accountability • Knowledge of HIPAA and institutional review board requirements • Experience with de-identification, privacy, and security strategies for protected health information • Experience directing data quality processes and validation controls • Experience designing data pipelines and platform services for machine learning, generative AI, and advanced analytics • Experience structuring datasets for model training, validation, inference, and controlled experimentation • Experience with responsible AI, reproducibility, transparency, and model governance • Ability to mentor engineers, architects, and analysts • Ability to conduct design reviews and develop standards • Ability to collaborate with information technology, clinical, operational, and research stakeholders

🏖️ Benefits

• Medical, dental, vision, and prescription drug coverage • Retirement savings plans with employer contributions • Life insurance • Disability coverage • Paid time off • Holidays • Family leave benefits • Tuition reimbursement • Professional development programs • Opportunities for advancement • Employee Assistance Program (EAP) • Wellness initiatives • Discounts on services