Senior Fabric Experience Engineer Microsoft Fabric | Semantic Modeling | Power BI | Simulation & Analytics

About the Role
Seeking an experienced Senior Fabric Experience Engineer to join our growing Data Management & Analytics practice. This role combines expertise in Microsoft Fabric, Power BI, semantic modeling, advanced analytics, and interactive application development to deliver scalable, intelligent, and business-focused data solutions. The ideal candidate will be responsible for designing and implementing integrated analytics experiences that enable business users to move seamlessly from data exploration and insights to scenario simulation and informed decision-making. Beyond traditional dashboard development, the role requires the ability to design governed semantic models, develop interactive analytical experiences, integrate predictive or simulation capabilities, and work across the Microsoft Fabric data ecosystem. As a Senior Associate, the candidate will independently manage technical workstreams, mentor junior team members, collaborate with cross-functional teams, and serve as a trusted technical partner for clients.

Key Responsibilities
1. Microsoft Fabric &Semantic; Modeling  Design, develop, and maintain enterprise-grade semantic models using Microsoft Fabric and Power BI.  Implement scalable data models using DirectLake, Import, and DirectQuery connectivity patterns based on solution requirements.  Define reusable business entities, relationships, KPIs, metrics, and calculation logic to ensure consistency across reports, applications, and analytical solutions.  Develop optimized DAX measures, calculation groups, and reusable semantic components.  Implement appropriate data security mechanisms, including Row-Level Security (RLS) and Object-Level Security (OLS), where applicable.  Establish semantic modeling standards that support governance, reusability,performance, and maintainability.  Collaborate with data engineering teams to ensure reliable integration between curated data layers and downstream analytics applications. 2. Power BI Reporting & User Experience  Design and develop interactive, production-grade Power BI reports and dashboards that translate complex datasets into meaningful business insights.  Build intuitive analytical experiences that enable users to explore trends, investigate business drivers, and evaluate alternative scenarios.  Apply data visualization best practices, including responsive design, accessibility, usability, and performance optimization.  Develop interactive analytics applications or integrate Power BI capabilities into custom applications where required.  Partner with business stakeholders to understand decision-making requirements and translate them into functional and technical solutions.  Support modernization and migration of existing reporting solutions while maintaining functional and visual consistency. 3. Simulation & Scenario-Based Analytics  Design and implement what-if analysis, scenario modeling, and simulation capabilities within Microsoft Fabric, Power BI, or integrated applications.  Develop configurable simulation parameters, business rules, assumptions, and constraints that allow users to evaluate alternative decisions.



 Integrate forecasting, predictive analytics, or decision-science outputs into interactive reporting and simulation experiences.  Ensure simulation logic is transparent, explainable, and aligned with validated business models.  Collaborate with data science and functional teams to translate analytical models into usable business applications.  Enable comparison of baseline scenarios against simulated outcomes to support informed decision-making. 4. Microsoft Fabric Data Engineering & Integration  Work across the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, and Fabric Notebooks.  Develop or enhance ingestion pipelines and data transformation processes when required.  Use SQL, PySpark, and dataframe-based transformations to prepare and refine datasets for analytics consumption.  Understand and apply Medallion Architecture (Bronze, Silver, Gold) and other modern data architecture patterns.  Collaborate with data engineering teams on data integration, quality, transformation, and optimization.  Troubleshoot data pipeline, model refresh, and integration issues to ensure reliable end-to-end solutions. 5. AI-Enabled Analytics & Conversational Experiences  Support the integration of AI-powered analytics capabilities, including Microsoft Fabric Data Agents, Microsoft Copilot, and conversational analytics solutions.  Design semantic models and reusable business definitions that enable consistent interpretation of data by both users and AI-powered applications.  Collaborate with AI engineering teams to enable natural-language querying, contextual insights, and intelligent analytical experiences.  Explore opportunities to integrate predictive analytics, AI-generated insights, and agent-driven interactions into business reporting solutions. 6. Technical Leadership & Client Collaboration  Independently lead small technical workstreams, taking ownership of solution design, development, testing, and deployment.  Coordinate and mentor analysts and associates, providing technical guidance, code reviews, and support.  Collaborate with solution architects, data engineers, data scientists, and business stakeholders to ensure end-to-end solution alignment.  Participate in client workshops, requirement discussions, solution demonstrations, and technical design reviews.  Identify technical risks, dependencies, and performance challenges, and proactively recommend appropriate solutions.  Drive adherence to development standards, documentation practices, and quality assurance processes.  Contribute to reusable frameworks, accelerators, and best practices within Microsoft Fabric and Analytics capabilities.



Required Skills & Experience Technical Skills Microsoft Fabric & Data Architecture  Strong hands-on experience with Microsoft Fabric and its core capabilities.  Experience working with Fabric Lakehouse, Warehouse, OneLake, and DirectLake.  Understanding of up-to-date data architecture, data integration, and transformation patterns.  Working experience with Fabric Data Factory, Dataflows Gen2, or equivalent data integration technologies. Power BI & Semantic Modeling  Advanced proficiency in Power BI Desktop and Power BI Service.  Strong experience in semantic modeling, dimensional modeling, DAX, and Power Query.  Experience optimizing semantic models, queries, and report performance.  Experience implementing data security using RLS and related access-control mechanisms.  Ability to develop complex, interactive analytical reports independently. Scenario Modeling & Analytics  Experience implementing what-if analysis, scenario simulations, or decision
- support analytics.  Ability to design business rules, parameters, calculations, and configurable scenario models.  Understanding of predictive analytics, forecasting, or statistical modeling concepts. Programming &Data; Transformation  Strong SQL skills.  Working knowledge of Python or PySpark for data processing and transformation.  Familiarity with APIs, data integration patterns, and modern application architectures.  Exposure to front-end development technologies or embedded analytics solutions. Data Governance &AI;  Understanding of data governance, semantic consistency, metadata management, and data security.  Familiarity with entity resolution, master data concepts, and cross-system identity mapping.  Awareness of AI-enabled analytics, conversational interfaces, and modern data agent capabilities. Leadership & Consulting Skills  Ability to independently own technical deliverables and manage multiple development activities.  Solid analytical thinking, troubleshooting, and problem-solving capabilities.  Experience coordinating small technical teams and reviewing deliverables.  Strong communication and stakeholder management skills.  Ability to translate complex technical concepts into meaningful business discussions.  Comfortable interacting directly with clients and managing day-to-day technical expectations. Preferred Qualifications  5–8 years of relevant experience in Business Intelligence, Data Analytics, Data Engineering, or related areas.  Robust hands-on experience in Power BI, including advanced semantic modeling and report development.  Practical implementation experience with Microsoft Fabric.  Experience delivering end-to-end analytics or data modernization projects.  Exposure to interactive scenario modeling or simulation-based analytical applications.  Experience with cloud platforms such as Microsoft Azure.  Familiarity with Microsoft Fabric Data Agents, Copilot, or AI-enabled analytical solutions.  Experience with front-end technologies such as Angular, React, or .
NET-based applications would be an advantage.  Microsoft certifications such as Fabric Analytics Engineer Associate (DP-600) or Fabric Data Engineer Associate (DP-700) are preferred.  Bachelor or Master degree in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Senior Fabric Experience Engineer (India)
🏢 Teamware Solutions
📍 India