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Quisitive

Senior Consultant – Data & Analytics, Microsoft Fabric, Power BI, Databricks

Quisitive

Senior Consultant in Data Engineering influencing Microsoft Fabric adoption for innovative analytics solutions. Join Quisitive at the forefront of cloud transformation and data strategy.

Posted 5/21/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AzureSparkSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
Microsoft FabricPower BIDAXPower Querydata transformationELT pipelinesAzure data servicesStar schemadimensional modelingSpark-based processing
Soft Skills
strong communication skillscollaborationleadershipconsultingstakeholder engagement