Note: The job is a remote job and is open to candidates in USA. Quisitive is a recognized global partner of Microsoft, specializing in cloud transformation and data strategy. They are seeking a Senior Consultant focused on Data Engineering to work with Microsoft Fabric and modern data platforms, delivering high-quality consulting outcomes and influencing next-generation analytics adoption.

Responsibilities

• Translate business needs into scalable, high-performing data models and dashboards
• Own and drive delivery across multiple client engagements simultaneously
• Collaborate across distributed teams (U.S. and India) to deliver high-quality consulting outcomes
• Support and maintain existing solutions, adding features, and new pipelines
• Lead the design and implementation of end-to-end data solutions in Microsoft Fabric
• Build and optimize Power BI reporting ecosystems, including semantic models and enterprise reporting strategies
• Work with Databricks and modern data platforms to support advanced data engineering and analytics use cases
• Engage directly with business stakeholders and executives to define reporting strategies and data roadmaps

Skills

• Microsoft Fabric
• Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines)
• Strong understanding of modern data architecture (medallion/layered design, OneLake concepts)
• Experience building end-to-end analytics solutions inside Fabric
• Familiarity with real-time analytics, data integration, and unified analytics platforms
• Deep expertise in Power BI development, modeling, and optimization
• Strong experience with DAX and performance tuning
• Experience with semantic models and enterprise reporting
• Power Query and data transformation skills
• Paginated reporting experience
• Understanding of governance and deployment best practices
• Experience working with Databricks in Azure environments
• Understanding of Spark-based processing
• Experience with ELT pipelines and large-scale data transformation
• Integration with data lakes and Fabric environments
• Exposure to AI/ML workloads is a plus
• Experience with Azure data services (Data Factory, ADLS Gen2, Azure SQL, Synapse)
• Star schema and dimensional modeling
• Working with structured and unstructured data sources and APIs
• Prior consulting experience
• Strong communication skills
• Experience building modern, cloud-native analytics platforms
• Exposure to AI-enabled analytics or Copilot-driven experiences
• Advanced visualization (Power BI, Python, etc.)
• Microsoft certifications in Fabric, Power BI, or Azure
• Strong curiosity and continuous learning mindset

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