Job Description

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)
• Strong 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.