Sr Azure Data Engineer

We are seeking a

Senior Azure Data Engineer

to lead the design, development, and optimization of enterprise-scale data platforms on Microsoft Azure. The ideal candidate will bring deep expertise in Azure Data Factory, SQL, and Microsoft Fabric, and will play a critical role in defining data architecture standards, best practices, and mentoring junior engineers. Key Responsibilities: Architect and lead the development of scalable, secure, and high-performance data pipelines using Azure Data Factory Design and implement end-to-end data solutions using Microsoft Fabric, including Lakehouse, Data Engineering, and Data Warehouse components Optimize complex SQL queries and data models to ensure performance, reliability, and scalability Define and enforce data architecture standards, best practices, and governance frameworks Lead data ingestion from multiple sources, including on-premises systems, cloud platforms, APIs, and streaming data Monitor, troubleshoot, and optimize data pipelines and overall system performance Collaborate closely with business and technical stakeholders to translate requirements into robust technical solutions Mentor junior data engineers and conduct code and design reviews Ensure security, compliance, and cost optimization across Azure data services Create and maintain architecture diagrams, technical documentation, and design artifacts.

Required Skills & Qualifications: 6+ years of experience in Data Engineering Strong hands-on expertise with Microsoft Azure Cloud services Advanced experience with Azure Data Factory Expert-level SQL proficiency, including performance tuning, indexing, and complex transformations Strong hands-on experience with Microsoft Fabric Solid understanding of ETL/ELT patterns, data warehousing concepts, and analytics architectures Proven experience designing and supporting large-scale, high-volume data solutions

Good to Have: Experience with Azure Synapse Analytics Knowledge of Spark / PySpark Experience with Power BI and semantic data models Exposure to CI/CD pipelines using Azure DevOps Familiarity with data governance and metadata management tools