MS Fabric Lead

This role is for one of the Weekday's clients

Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA)

Microsoft Fabric Lead

Microsoft Fabric

data ingestion, storage, transformation, and visualization

Data Lake

Lakehouse

Real-Time Analytics

Power BI

Synapse

Requirements

Key Responsibilities

• Lead the end-to-end architecture, development, and deployment of enterprise data platforms using Microsoft Fabric and related Azure services.
• Design robust data solutions including Data Lake, Lakehouse, and Real-Time Analytics systems to support business intelligence and advanced analytics use cases.
• Build and manage scalable data pipelines using Azure Data Factory, ensuring high performance and data integrity across ingestion and transformation processes.
• Implement and optimize Synapse Analytics workloads for large-scale data warehousing and near real-time querying.
• Develop advanced data visualizations, dashboards, and reporting tools using Power BI, integrating insights directly with business functions.
• Integrate disparate data sources and ensure smooth data flow and orchestration across cloud environments.
• Provide hands-on leadership and mentorship to data engineers, analysts, and cross-functional stakeholders.
• Ensure governance, security, and compliance of all data operations within Azure cloud infrastructure.
• Drive performance tuning, cost optimization, and system resilience for mission-critical data applications.
• Stay current with emerging technologies and patterns in cloud data architecture, advocating for their strategic adoption.
  

Required Skills & Experience

• 10-14 years of total IT experience, with at least 3+ years in Microsoft Fabric and Azure data stack.
• Proven expertise in Microsoft Fabric, including components such as Data Engineering, Data Science, and Real-Time Analytics.
• Strong command over Power BI - building complex dashboards, DAX queries, and enterprise-level reports.
• Deep understanding of Azure Synapse, Azure Data Factory, and Azure Data Lake Storage (Gen2).
• Experience in designing and implementing Lakehouse architectures for structured and unstructured data.
• Solid grasp of data modeling, data integration patterns, and cloud-native development practices.
• Proficiency in performance tuning, debugging, and optimization across the Azure data ecosystem.
• Strong leadership, communication, and stakeholder management skills.
  

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect, Azure Data Engineer, or similar certifications
• Background in data governance, MLOps, or enterprise-wide data migration projects
• Experience working in agile, product-based, or DevOps-driven environments