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Data Architect, AVS Digital Transformation

GE HealthCare
Remote, United States, United StatesRemotefull_timeVerifiedPosted 15 Jan 2026
💰 $180,000/yr($120,000/yr$180,000/yr)

About the role

Job Description Summary

We are seeking a Data Architect to help design and build comprehensive data solutions that will serve as the foundation for our digital transformation initiative. This role combines data architecture expertise with hands-on Power BI development, responsible for leveraging and extending existing enterprise data assets, implementing new ETL pipelines, and creating enterprise dashboards, while ensuring readiness for future AI initiatives.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Job Description

Roles & Responsibilities:

Data Warehouse & ETL Development (40%)

  • Design enterprise data warehouse solutions using dimensional modeling and modern architecture patterns

  • Develop ETL/ELT pipelines using enterprise data integration platforms (e.g. Azure Data Factory, SSIS, etc.) to integrate data from multiple sources including Redshift

  • Assess, integrate, and extend existing enterprise data assets 

  • Implement data quality frameworks and automated monitoring systems

  • Establish data lineage tracking and metadata management processes for governance

Semantic Model Design & Power BI Development (40%)

  • Architect Power BI semantic models optimized for performance, scalability, and business usability

  • Integrate certified enterprise semantic models with custom data models to create comprehensive business intelligence solutions

  • Create sophisticated Power BI dashboards and reports with advanced DAX calculations and complex business logic

  • Build automated reporting solutions and self-service analytics capabilities

  • Design Power BI workspace structure, deployment pipelines, and version control processes

AI & Advanced Analytics Foundation Development (20%)

  • Design data architectures and semantic models with AI-readiness in mind for Copilot and generative AI integration

  • Create well-structured data models with proper metadata and context to support AI initiatives

  • Establish data quality and governance frameworks that will support AI model training and validation

  • Build semantic layers optimized for natural language processing and conversational analytics capabilities

Qualifications

  • Bachelors degree with 6+ years of experience in data warehouse design and implementation

  • 4+ years of advanced Power BI development experience including complex semantic modeling

  • Expert-level DAX and Power Query (M language) skills for enterprise-scale data models

Desired Characteristics

  • Expert knowledge of dimensional modeling, star schema design and modern data architecture patterns

  • Strong proficiency with cloud data services and analytics platforms

  • Advanced SQL skills and database performance optimization experience

  • Demonstrated expertise with ETL/ ELT tools and data integration platforms

Power BI Development & Analytics

  • Experience with advanced Power BI features including calculated tables, measures and complex relationships

  • Knowledge of Power BI performance optimization, caching strategies and user experience design

  • Experience with Power BI Dataflows, Microsoft Fabric, and Power Platform integration

  • Experience evaluating and extending existing enterprise semantic models and certified dataflows

Technical & Development Skills

  • API development and integration patterns for data connectivity

  • Version control systems and collaborative development practices

  • Enterprise data consolidation from multiple source systems

  • Power BI workspace management and deployment pipelines

AI & Advanced Analytics Readiness

  • Understanding of data requirements for machine learning and AI Model integration

  • Knowledge of data preparation best practices that support AI initiatives

  • Experience with semantic layer design principles for natural language processing

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership –always with unyielding integrity.

Our total rewards are designed to unlock your ambiti

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Company

GE HealthCare

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