Senior Consultant - Data & Analytics (Microsoft Fabric | Power BI | Databricks) [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Consultant – Data & Analytics (Microsoft Fabric | Power BI | Databricks) in the United States.

This role sits at the intersection of modern data engineering and enterprise analytics, driving the design and delivery of scalable, cloud-native data solutions.
You will work at the forefront of Microsoft Fabric and advanced analytics platforms to help clients modernize their data ecosystems.
The position combines hands-on technical delivery with strategic consulting and stakeholder engagement at executive level.
You will contribute to end-to-end solution architecture, from data modeling to visualization and performance optimization.
Working in a global delivery environment, you will collaborate with distributed teams across the U.S. and India.
This is a high-impact role where your expertise directly shapes client data strategy and long-term analytics transformation.

Accountabilities:

• Lead the design and implementation of end-to-end analytics solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, and pipelines.
• Translate business requirements into scalable data models, semantic layers, and high-performing Power BI dashboards.
• Develop, optimize, and maintain Power BI reporting ecosystems, including DAX optimization, data modeling, and enterprise reporting strategies.
• Work with Databricks and Spark-based environments to build and enhance ELT pipelines and large-scale data processing solutions.
• Collaborate with distributed, cross-functional teams to deliver managed services and consulting outcomes across multiple client engagements.
• Engage directly with stakeholders and executives to define reporting strategies, analytics roadmaps, and data architecture direction.
• Support ongoing solution enhancement, maintenance, and feature development within existing client environments.

Requirements:

• Strong hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, pipelines, and Dataflows Gen2.
• Deep expertise in Power BI development, including data modeling, DAX, performance tuning, and enterprise-scale reporting.
• Experience working with Databricks in Azure environments and building Spark-based data processing pipelines.
• Solid understanding of modern data architecture, including medallion/layered models and OneLake concepts.
• Strong knowledge of ELT processes, data integration, and large-scale data transformation practices.
• Experience with Azure data services such as Data Factory, ADLS Gen2, Azure SQL, or Synapse.
• Strong consulting mindset with excellent communication skills and ability to work with business stakeholders.
• Experience in dimensional modeling, star schema design, and working with structured/unstructured data sources is highly valued.
• Exposure to AI/ML workloads, Copilot-driven analytics, or advanced visualization is a plus.
• Microsoft certifications in Fabric, Power BI, or Azure are an advantage.

Benefits:

• Remote-first opportunity based in the United States.
• Exposure to cutting-edge Microsoft Fabric, Databricks, and modern cloud analytics technologies.
• Opportunity to work on complex, enterprise-scale data transformation projects.
• Collaborative global delivery environment with distributed technical teams.
• Strong focus on professional growth, learning, and hands-on innovation.
• Opportunity to work closely with senior stakeholders and influence data strategy at client organizations.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.