GE HealthCare

Data Architect – AVS Digital Transformation

GE HealthCare

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $117,600 - $176,400 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAzureCloudETLSQLSSIS

About the role

  • 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
  • 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
  • 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

Requirements

  • 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
  • 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
  • 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
  • API development and integration patterns for data connectivity
  • Version control systems and collaborative development practices
  • Enterprise data consolidation from multiple source systems
  • 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
Benefits
  • medical, dental, vision
  • paid time off
  • 401(k) plan with employee and company contribution opportunities
  • life, disability, and accident insurance
  • tuition reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data warehouse designETLELTDAXPower Querydimensional modelingSQLdata integrationsemantic modelingdata performance optimization
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