Senior Data & AI Engineer - Microsoft Fabric

Job Description: About the Role: We are seeking a Senior Engineer - Data & AI who can architect, build, and optimize enterprise-scale data platforms using Microsoft Fabric. This role requires a strong technical leader with expertise in modern data engineering, analytics, cloud-native architectures, and enterprise data integration. You will collaborate with solution architects, business analysts, data scientists, and stakeholders to design scalable, secure, and high-performing data solutions that enable business intelligence, AI, and advanced analytics. The ideal candidate is passionate about Microsoft Fabric, has strong hands-on engineering skills, and thrives in delivering end-to-end cloud data solutions. Key Responsibilities: Microsoft Fabric Platform Engineering: - Design, develop, and maintain enterprise data platforms using Microsoft Fabric. - Build scalable Lakehouse architectures using OneLake, Lakehouse, Warehouse, and Data Engineering capabilities. - Develop robust ELT/ETL pipelines using Fabric Data Factory and Dataflows Gen2. - Optimize data ingestion, transformation, and storage for performance and scalability. - Implement enterprise-grade data governance, monitoring, and security practices. Cloud Data Engineering: - Design and implement modern cloud-based data architectures. - Develop batch and near real-time data pipelines from multiple enterprise sources. - Integrate structured, semi-structured, and unstructured data into unified analytics platforms. - Build reusable frameworks for ingestion, transformation, orchestration, and deployment. - Optimize workloads for performance, reliability, and cost efficiency. Solution Architecture & Technical Leadership: - Collaborate with solution architects to define scalable enterprise data solutions. - Translate business requirements into technical designs and implementation strategies. - Lead technical discussions, architecture reviews, and solution design workshops. - Mentor engineering teams and promote engineering best practices. - Drive reusable architecture patterns and coding standards. Delivery & Agile Execution: - Own end-to-end delivery of Microsoft Fabric solutions. - Participate in Agile ceremonies and sprint planning activities. - Perform code reviews, performance optimization, and production support. - Collaborate with DevOps teams for CI/CD implementation and deployment automation. - Ensure timely delivery while maintaining engineering quality standards. Stakeholder Collaboration: - Work closely with business stakeholders, product owners, and consulting teams. - Participate in solution discovery workshops and client discussions. - Communicate technical concepts effectively to business users. - Align technical solutions with business objectives and enterprise architecture standards. Nice to Have: - Develop semantic models and enterprise reporting solutions. - Enable Power BI Direct Lake and Fabric-native reporting capabilities. - Design analytics-ready datasets for business users and executive dashboards. - Support self-service analytics by implementing reusable semantic models. - Ensure high data quality and consistency across reporting solutions. Ideal Candidate Profile: - 6+ years of experience in Data Engineering, Cloud Data Platforms, or Analytics Engineering. - 2+ years of hands-on experience with Microsoft Fabric. - Strong expertise in: 1. Microsoft Fabric 2. OneLake 3. Lakehouse 4. Fabric Warehouse 5. Data Factory 6. Dataflows Gen2 7. Real-Time Analytics 8. Power BI - Strong programming experience in: 1. SQL (Advanced) 2. Python 3. PySpark - Experience in: 1. Data Modeling (Star Schema, Snowflake Schema, Kimball) 2. ETL/ELT Frameworks 3. Data Warehousing 4. Delta Lake 5. CI/CD implementation - Experience integrating data from Azure SQL, SQL Server, REST APIs, SAP, Oracle, SharePoint, Dynamics 365, and other enterprise systems. - Strong understanding of Azure ecosystem including Azure Storage, Azure Data Factory, Azure Synapse, Azure Key Vault, and Azure Active Directory. - Experience implementing enterprise data governance, security, lineage, and monitoring. - Experience working in consulting or client-facing environments. - Strong analytical, troubleshooting, and problem-solving skills. Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field. - Microsoft Certifications such as: 1. DP-600: Fabric Analytics Engineer Associate 2. DP-700: Fabric Data Engineer Associate 3. DP-203: Azure Data Engineer Associate - Experience with: 1. Azure DevOps 2. Git 3. Microsoft Purview 4. AI/ML data pipelines 5. Generative AI solutions 6. Microsoft Copilot - Familiarity with Agile delivery methodologies and DevOps practices. Job Description: About the Role: We are seeking a Senior Engineer - Data & AI who can architect, build, and optimize enterprise-scale data platforms using Microsoft Fabric.