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Senior Consultant – Data & Analytics, Microsoft Fabric, Power BI, Databricks
Location
United States
Posted
15 days ago
Salary
0
Seniority
Senior
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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