Description

Key Responsibilities:

• Architect and implement enterprise-grade Microsoft Fabric Lakehouse solutions, leveraging OneLake, Fabric Data Engineering, Fabric Warehouses, and Fabric Data Pipelines to support scalable analytics workloads.
• Design and develop robust ETL/ELT data pipelines using Microsoft Fabric Data Factory capabilities, Azure Data Factory (ADF), and Azure Synapse Analytics for batch and incremental processing.
• Build scalable distributed data processing frameworks using PySpark, Spark SQL, and Fabric notebooks for structured, semi-structured, and streaming data.
• Develop modern Lakehouse architecture (Medallion – Bronze/Silver/Gold layers) with optimized storage and data modeling strategies.
• Implement enterprise data ingestion from multiple sources including Azure Data Lake Storage (ADLS), APIs, SQL databases, ERP/CRM systems, flat files, and cloud applications into Fabric OneLake.
• Design and optimize Fabric Warehouse and Power BI semantic models, ensuring high-performance analytics and reporting.
• Develop dimensional data models (Star Schema, Snowflake Schema) and implement data modeling best practices for enterprise BI solutions.
• Implement performance tuning strategies including partitioning, indexing, query optimization, workload management, and storage optimization within Fabric and Synapse environments.
• Enforce data governance, security, RBAC, and compliance standards using Microsoft Fabric governance features, sensitivity labels, lineage tracking, and access controls.
• Integrate Power BI datasets, semantic models, and Direct Lake connectivity with Fabric Lakehouse for real-time analytics enablement.
• Lead legacy data platform modernization and migration initiatives from on-prem SQL Server, SSIS, traditional data warehouses, or Hadoop ecosystems to Microsoft Fabric architecture.
• Implement DevOps and CI/CD pipelines using Azure DevOps, Git integration, Fabric deployment pipelines, and version control strategies across DEV/QA/PROD environments.
• Collaborate cross-functionally with data architects, BI developers, data scientists, and business stakeholders to deliver scalable, secure, and analytics-ready enterprise data solutions.

Required Skills:

• Strong hands-on expertise in Microsoft Fabric (Fabric Lakehouse, OneLake, Data Pipelines, Fabric Warehouse)
• Experience with Azure Data Factory (ADF) and Azure Synapse Analytics
• Deep knowledge of Lakehouse architecture and Medallion design patterns
• Strong proficiency in SQL, T-SQL, Spark SQL
• Programming expertise in Python / PySpark
• Experience integrating and optimizing Power BI datasets and semantic models
• Strong understanding of data modeling (Star Schema, Snowflake Schema)
• Experience in performance tuning and query optimization
• Hands-on experience with enterprise data ingestion and transformation

Key Skills

Education

Not specified