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Quisitive

You envision the future of your business. We take you there.

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

ConsultantConsultantFull TimeRemoteSeniorTeam 501-1,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

15 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishAzureSparkSQL

Job Description

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

Quisitive

• 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

Job Requirements

  • 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

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

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