Position: Microsoft Fabric Core Lead Engineer

nExperience: 10+ Years

nLocation: Hyderabad, Pune, Bengaluru, Coimbatore

nNotice Period: Immediate Joiners

nRoles & Responsibilities

nPosition Summary

nThe Microsoft Fabric Core Lead Engineer is responsible for leading the design, development, implementation, and support of enterprise-scale data and analytics solutions using Microsoft Fabric. The role provides technical leadership, drives architecture decisions, mentors engineering teams, and ensures successful delivery of scalable, secure, and high-performing data platforms.

nRoles & Responsibilities

nTechnical Leadership

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- Lead the end-to-end implementation of Microsoft Fabric solutions across enterprise programs.
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- Define technical architecture, engineering standards, and best practices for Microsoft Fabric adoption.
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- Provide technical leadership to a team of data engineers and developers.
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- Review solution designs, code, and deployment strategies to ensure quality and scalability.
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nMicrosoft Fabric Architecture

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- Design and implement enterprise data platforms using Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Data Engineering, and Power BI.
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- Architect scalable, cloud-native data solutions supporting analytics, AI, and business intelligence workloads.
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- Establish reusable design patterns and reference architectures.
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nData Engineering & Integration

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- Design and develop robust ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks.
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- Integrate structured, semi-structured, and unstructured data from cloud and on-premises systems.
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- Implement data transformation, cleansing, validation, and orchestration processes.
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- Optimize data ingestion strategies for performance and reliability.
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nData Modeling & Analytics

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- Design dimensional models, Lakehouse architectures, and enterprise data warehouses.
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- Develop semantic models and datasets for Power BI reporting and self-service analytics.
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- Collaborate with business teams to translate analytical requirements into scalable data solutions.
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nPerformance Optimization

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- Optimize Spark workloads, SQL Warehouse performance, and OneLake storage utilization.
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- Implement partitioning, indexing, caching, and workload optimization strategies.
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- Monitor platform performance and proactively resolve bottlenecks.
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nSecurity & Governance

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- Implement enterprise security using Microsoft Entra ID, RBAC, and Fabric workspace security.
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- Define governance policies for data quality, lineage, cataloging, auditing, and compliance.
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- Ensure adherence to enterprise security, privacy, and regulatory standards.
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nDevOps & Automation

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- Implement CI/CD pipelines using Azure DevOps or GitHub.
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- Automate deployment of Microsoft Fabric artifacts across Development, QA, UAT, and Production environments.
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- Manage source control, release management, and deployment automation.
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nAI & Advanced Analytics

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- Enable AI, Machine Learning, and Copilot capabilities within Microsoft Fabric.
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- Support Data Science workloads using Spark, notebooks, and ML models.
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- Collaborate with AI teams to operationalize predictive analytics and intelligent data solutions.
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nProduction Support & Operations

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- Lead production deployments and post-production support activities.
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- Monitor platform health, troubleshoot incidents, and ensure SLA compliance.
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- Implement disaster recovery, backup,



and business continuity strategies.
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nStakeholder Management

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- Collaborate with enterprise architects, product owners, business stakeholders, and cross-functional teams.
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- Participate in architecture review boards and technical governance meetings.
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- Communicate technical solutions and project status to senior leadership.
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nTeam Leadership & Mentoring

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- Mentor junior and senior engineers on Microsoft Fabric technologies and engineering best practices.
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- Conduct code reviews, design reviews, and technical knowledge-sharing sessions.
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- Drive continuous improvement initiatives and foster engineering excellence.
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nRequired Qualifications

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- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
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- 10+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platform development.
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- 4+ years of hands-on experience with Microsoft Azure Data Platform technologies.
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- 2+ years of hands-on experience with Microsoft Fabric in enterprise implementations.
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- Strong expertise in SQL, PySpark, Python, and Spark optimization.
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- Experience with Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence.
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- Experience with Azure Data Lake Storage (ADLS), Azure DevOps, GitHub, and CI/CD pipelines.
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- Solid knowledge of dimensional data modeling, ETL/ELT architecture, and data governance.
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- Experience leading technical teams and delivering large-scale enterprise data modernization programs.
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nPreferred Skills

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- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
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- Microsoft Certified: Fabric Data Engineer Associate (DP- 700)
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- Microsoft Azure Data Engineer Associate (DP-203)
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- Experience with Databricks, Synapse Analytics, Azure AI Services, or Microsoft Purview.
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📌 Lead Data Engineer- MS Fabric (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad