Chennai, Tamil NaduBangalore, Karnataka
Job Summary
Lead the architecture, design, and implementation of enterprise-scale Microsoft Fabric data platforms. Responsible for building and managing end-to-end data solutions using OneLake, Lakehouse, Data Warehouse, Data Factory, and PySpark-based data engineering frameworks. Drive data integration, governance, security, and analytics enablement while supporting scalable, high-performance data platforms for manufacturing and enterprise reporting use cases.
Key Responsibilities
Architect and implement end-to-end Microsoft Fabric solutions across OneLake, Lakehouse, Data Warehouse, and Data Factory.
Design and develop Bronze, Silver, and Gold data layers using Medallion Architecture principles.
Build and optimize scalable data ingestion, transformation, and orchestration pipelines.
Develop ETL/ELT frameworks using Fabric Data Pipelines, Notebooks, and SQL endpoints.
Design enterprise data models and ensure data quality, governance, lineage, and metadata management.
Integrate data from multiple enterprise systems, APIs, manufacturing platforms, and industrial IoT sources.
Implement security controls, monitoring, performance tuning, and operational best practices.
Collaborate with business stakeholders, analytics teams, and reporting teams to deliver trusted data assets.
Manage source control, CI/CD pipelines, and deployment processes using Azure DevOps and Git.
Support enterprise analytics, reporting, and decision-making through scalable data platform solutions.
Skill Requirements
Required Skills
Microsoft Fabric End-to-End Architecture
OneLake
Fabric Data Factory
Fabric Data Pipelines
Fabric Lakehouse
Fabric Data Warehouse




Fabric SQL Endpoint
Fabric Notebooks (PySpark)
Medallion Architecture (Bronze, Silver, Gold)
Data Ingestion and Orchestration
ETL/ELT Framework Development
Delta Lake
Advanced SQL Development and Performance Tuning
Enterprise Data Modeling
Data Governance, Data Lineage, and Metadata Management
API and REST-based Data Integration
Azure DevOps and CI/CD
Git Version Control
Performance Monitoring and Optimization
Preferred Skills
Azure Data Factory (ADF)
Azure Synapse Analytics
Python Programming
Kusto Query Language (KQL)
Power BI Semantic Models
Manufacturing, MES, or Industrial IoT Data Platforms
Real-time Analytics and Event Processing
Other Requirements
8-12+ years of overall Data Engineering and Analytics experience.
Minimum 2+ years of hands-on Microsoft Fabric implementation experience.
Strong experience in enterprise-scale data platform architecture and modernization initiatives.
Experience working with manufacturing, production, or industrial data environments is preferred.

Microsoft Certifications:
DP-700: Microsoft Certified - Fabric Data Engineer Associate (Required/Preferred)
DP-600: Microsoft Certified - Fabric Analytics Engineer Associate (Added Advantage)
Robust stakeholder management, problem-solving, and communication skills.
Ability to lead technical discussions, architecture reviews, and design workshops.
Experience working in Agile delivery environments and cross-functional teams.
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📌 Data Science Specialist (Chennai)
🏢 HCLTech
📍 Chennai