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