Azure Data Engineer

Role Overview

We are seeking an experienced Azure Data Architect with 12+ years of IT experience to lead the design and implementation of enterprise-grade data solutions on the Azure platform. This is a 6-month contract role based in Pune or Bangalore, requiring a hybrid work mode.

Responsibilities

• Design scalable, secure, resilient, and cost-efficient data architectures on Azure.
• Lead the architectural design and implementation using Azure Data Factory (ADF), Azure Databricks (PySpark), Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Synapse Analytics, and Microsoft Fabric.
• Develop enterprise-grade ETL/ELT frameworks, metadata-driven pipelines, and orchestration strategies.
• Apply expertise in data modeling (Kimball, Inmon, Data Vault, SCD Type 2) for warehouse and lakehouse implementations.
• Implement strong data governance, lineage, cataloging, and security models (RBAC, data masking, row/column-level security).
• Optimize Azure data workloads focusing on cost management, capacity planning, and query performance.
• Design semantic layers and reporting models for Power BI and Tableau.
• Implement CI/CD and DevOps practices using Infrastructure as Code (ARM/Bicep/Terraform).

Requirements

• 12+ years of overall IT experience with deep expertise in Data Architecture and Azure Data Platform solutions.
• Minimum 10 years of dedicated Azure experience.
• Strong hands-on architectural and implementation experience with Azure Data Factory (ADF), Azure Databricks, ADLS Gen2, Azure Synapse Analytics, and Microsoft Fabric.
• Mandatory proficiency in Python (PySpark) and SQL. Familiarity with Power BI DAX is a plus.
• Solid expertise in data modeling techniques (Kimball, Inmon, Data Vault).
• Strong knowledge of data governance, lineage, and security frameworks.
• Understanding of Azure infrastructure concepts including networking (VNet, Private Endpoints) and identity (AAD, Managed Identity).
• Experience with CI/CD, DevOps, and Infrastructure as Code (ARM/Bicep/Terraform).