Job Description

Job Summary

We are seeking a highly experienced Senior SME in Microsoft Fabric to lead end-to-end data platform implementations and drive enterprise data, analytics, and AI transformation initiatives. The ideal candidate will bring deep expertise in Microsoft Fabric, Power BI, SAP S4,SAP BW- SAC, advanced analytics, and AI/ML capabilities, along with strong stakeholder management skills and experience integrating complex enterprise source systems.

Key Responsibilities

• Lead end-to-end implementation of Microsoft Fabric solutions, including architecture, design, development, and deployment.
• Drive advanced analytics and AI/ML use cases, enabling predictive, prescriptive, and real-time analytics across the organization.
• Design and implement modern data architectures using Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Real-Time Analytics).
• Leverage Fabric-native AI capabilities, including:
• Build and operationalize AI-powered insights and intelligent dashboards using Power BI.
• Act as a trusted advisor to business and technical stakeholders, aligning data, analytics, and AI strategies with business objectives.
• Integrate and manage data from complex enterprise systems such as:
• Define and implement data governance frameworks, ensuring data quality, lineage, and compliance.
• Establish and enforce data security best practices, including role-based access, data protection, and regulatory compliance.
• Enable self-service analytics and AI-driven insights for business users leveraging data agents (Copilot/M365) on top Fabric models/tables .
• Develop and optimize Power BI dashboards and semantic models, incorporating advanced analytics features.
• Mentor teams on data engineering, analytics, and AI best practices.
• Collaborate with cross-functional teams including data science, engineering, and business stakeholders.

Skill Requirements

• 20+ years of experience in data engineering, analytics, data science, or enterprise data platforms.
• Strong hands-on expertise in Microsoft Fabric ,PBI.
• Proven experience in Advanced Analytics and AI/ML, including:
• Deep expertise in:
• Experience leveraging AI services (Azure AI, OpenAI, Cognitive Services) within data platforms.
• Strong experience with enterprise system integrations, especially:
• Solid understanding of modern data architecture patterns (Lakehouse, Data lake, medallion, data mesh concepts, data shortcuts to minimize duplication of data .
• Experience enabling self-service BI, analytics, and AI adoption including conversational AI/BI models
• Excellent stakeholder management and communication skills.

Other Requirements

• Microsoft certifications (Fabric, Azure Data Scientist, Azure Data Engineer, Power BI).
• Experience in MLOps and model lifecycle management.
• Experience with RAG architectures, vector search, and knowledge grounding within Fabric.
• Knowledge of Responsible AI, model governance, and ethical AI practices.
• Familiarity with real-time analytics and streaming data pipelines.
• Experience in large-scale enterprise data & AI transformation programs.