Azure Fabric Data Agent Developer

Job Description

Job Description

Description:

Remote 6+ month contract

Please note :   

No agencies or staffing firms, please. We are not accepting unsolicited candidate submissions and request that agencies do not contact our employees or representatives regarding recruiting services for this role.

Position Overview

We are seeking an experienced Azure Fabric Data Agent Developer to design, build, optimize, and mentor clients on Microsoft Fabric Data Agent solutions. This role requires deep hands-on expertise with Microsoft Fabric , Fabric Data Agents , semantic modeling , Azure AI Foundry , and modern data engineering practices. The ideal candidate will be responsible for creating highly accurate and reliable conversational data experiences while ensuring the quality, completeness, and governance of underlying Fabric data platforms and semantic models. Relevant experience includes building agent-ready semantic models, configuring Fabric Data Agents, defining instructions and terminology, and optimizing response accuracy.

Microsoft Fabric Data Agents (Primary Focus)

• Design, develop, and deploy Microsoft Fabric Data Agents for enterprise analytics and AI-driven data experiences.

• Prepare and optimize Microsoft Fabric Semantic Models for use as Data Agent data sources.

• Configure agent instructions, synonyms, acronyms, business terminology, example queries, and verified responses to improve accuracy and usability.

• Evaluate and continuously optimize Data Agent performance, accuracy, and completeness.

• Conduct testing and validation of Data Agents against business scenarios and expected outcomes.

• Implement governance, metadata, and semantic-layer best practices to support reliable natural language querying.

• Mentor client teams on Fabric Data Agent architecture, development, optimization, and maintenance practices.

• Provide knowledge transfer, workshops, and hands-on guidance to help organizations successfully adopt Microsoft Fabric AI capabilities. Relevant responsibilities align with configuring Fabric Data Agents, refining terminology and verified answers, and validating agent accuracy

Azure AI Foundry & AI Integration

• Integrate Fabric Data Agents with Azure AI Foundry and AI-powered solutions.

• Support enterprise AI initiatives leveraging Fabric IQ, ontologies, semantic models, and AI-driven data access.

• Collaborate with architects, data engineers, and business stakeholders to design scalable AI and analytics solutions. Fabric Data Agents can be integrated with Azure AI Foundry and used as knowledge sources in enterprise AI solutions.Data Engineering & Fabric Data Ingestion

• Develop and maintain Python notebooks for ingesting, transforming, and validating data within Microsoft Fabric.

• Build and manage Microsoft Fabric Data Factory pipelines and ingestion workflows.

• Design and implement solutions using Bronze, Silver, Gold Medallion Architecture patterns.

• Create scalable data ingestion frameworks supporting OneLake, Lakehouse, Warehouse, and Semantic Model architectures.

• Ensure data quality, consistency, lineage, and governance throughout the ingestion process.

• Collaborate with data engineering teams to support enterprise-scale analytics platforms. Experience with Fabric pipelines and Medallion architecture is expected. 

Required Qualifications

• 5+ years of experience with Microsoft data and analytics platforms.

• Hands-on experience developing and deploying Microsoft Fabric Data Agents.

• Experience preparing and optimizing Fabric Semantic Models.

• Strong experience improving Data Agent response quality, accuracy, and governance.

• Experience mentoring users, clients, or technical teams on Microsoft Fabric solutions.

• Strong experience with Azure AI Foundry.

• Advanced Python development skills, including notebook development for data ingestion and transformation.

• Experience building Microsoft Fabric Data Factory pipelines and orchestration solutions.

• Deep understanding of Medallion Architecture (Bronze/Silver/Gold).

• Strong knowledge of OneLake, Lakehouse, Data Warehouse, and Semantic Modeling concepts.

• Excellent communication and client-facing consulting skills.

Preferred Qualifications

• Experience with Power BI semantic models and enterprise reporting solutions.

• Experience with Fabric IQ, Ontologies, and AI-powered analytics.

• Familiarity with Microsoft Copilot, Azure OpenAI, and generative AI solutions.

• Experience delivering workshops, training sessions, or technical mentoring engagements.

• Microsoft Fabric, Azure, or Power Platform certifications.

Ideal Candidate

The ideal candidate has successfully built and optimized Microsoft Fabric Data Agents, possesses strong Azure AI Foundry experience, understands how to create high-quality semantic models, and can mentor clients through the adoption of Fabric's AI and data platform capabilities while also contributing hands-on to data ingestion, pipeline development, and Medallion architecture implementation.