Job Description The Analytics Engineer – Semantic Model Developer is responsible for transforming raw data into structured semantic models that enable scalable, governed analytics and AI-driven insights. Operating within Microsoft Fabric and Power BI , this role ensures models are technically robust, strategically aligned, and compliant with governance standards. Key Responsibilities: Design and implement semantic models in Power BI and Microsoft Fabric aligned with business logic. Build and maintain ETL pipelines using Azure services to support semantic layers. Collaborate with stakeholders to translate requirements into scalable, governed semantic models. Ensure seamless data integration across enterprise systems for real-time analytics. Implement data governance within semantic models to ensure compliance with PII, SOX, and internal standards. Optimize semantic model performance and usability for self-service analytics. Build AI-ready data structures and collaborate with data scientists for predictive analytics. Develop executive dashboards and reports using Power BI and SQL. Manage full lifecycle of semantic models: creation, certification, versioning, and deprecation. Evaluate emerging technologies for lifecycle and governance improvements.