Description

Role:
Microsoft Fabric & Power BI Modernization
• Migration of operational reporting assets and datasets to Microsoft Fabric and Power BI.
• Implement Fabric architectures including Lakehouses, Warehouses, Semantic Models, Data Pipelines, and OneLake strategies.
• Build reusable engineering patterns that accelerate dashboard migration and reduce delivery effort.
• Develop enterprise-scale Power BI datasets supporting operational, executive, and strategic reporting.
• Optimize Fabric capacity utilization, storage strategy, performance, and cost management.
Data Engineering
• Build and maintain scalable data ingestion and transformation pipelines from enterprise platforms and operational systems.
• Design and implement medallion architecture patterns (Bronze, Silver, Gold) within Fabric.
• Develop data integration solutions utilizing Fabric Data Factory, notebooks, Spark, SQL, APIs, and related technologies.
• Ensure data quality, reliability, availability, and observability throughout the data lifecycle.
• Support modernization of existing ETL and reporting solutions into cloud-native architectures.
Analytics Enablement
• Partner with Power BI developers, business analysts, and product stakeholders to define analytical requirements.
• Design scalable semantic models that support both operational reporting and advanced analytics use cases.
• Improve performance, usability, and adoption of enterprise reporting assets.
• Participate in architecture reviews and provide technical leadership for reporting modernization initiatives.

All About you: 
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline. 
• 5+ years of experience in data engineering, analytics engineering, or business intelligence development. 
• 3+ years of experience with Microsoft Power BI including semantic modeling, DAX, data modeling, and report optimization. 
• Experience designing and operating enterprise data platforms in Microsoft Fabric, Azure, or comparable cloud ecosystems. 
• Strong SQL development and data modeling expertise. 
• Experience building ETL/ELT pipelines and integrating data from multiple enterprise systems.
• Knowledge of data governance, metadata management, and data quality frameworks. 
• Strong communication and stakeholder management skills
• Hands-on experience with Microsoft Fabric components including: 
o OneLake
o Data Factory
o Lakehouse
o Data Warehouse
o Spark Notebooks
o Real-Time Intelligence
o Data Agents
• Experience migrating reporting platforms from Domo, Tableau, or similar BI tools to Power BI. 
• Experience with Power Platform technologies including Power Apps and Power Automate. 
• Knowledge of AI/ML enablement within Fabric. 
• Microsoft Azure or Microsoft Fabric certifications

Key Skills

Education

Any Graduate