Azure Data Architect

Function: Software Engineering Big Data / DWH / ETL

• Azure Data Factory
• Azure Synapse
• ETL
• Spark SQL
• Scala

Responsibilities:

• Designing and implementing scalable and efficient data architectures.
• Creating data models and optimizing data structures for performance and usability.
• Implementing and managing data lakehouses and real-time analytics solutions using Microsoft Fabric.
• Leveraging Fabric's OneLake, Dataflows, and Synapse Data Engineering for seamless data management.
• Enabling end-to-end analytics and AI-powered insights.
• Developing and orchestrating data pipelines in Azure Data Factory.
• Managing ETL/ELT processes for data integration across various sources.
• Optimizing data workflows for performance and cost efficiency.
• Designing interactive dashboards and reports in Power BI.
• Implementing data models, DAX calculations, and performance optimizations.
• Ensuring data quality, security, and governance in reporting solutions.

Requirements:

• Data Architect with 10+ years of experience in Microsoft Fabric skills, designs, and implements data solutions using Fabric, focusing on data integration, analytics, and automation, while ensuring data quality, security, and compliance.
• Primary Skills (Must Have): Azure Data Pipeline, Apache Spark, ETL, Azure Factory, Azure Synapse, Azure Functions, Spark SQL, SQL.
• Secondary Skills (Good to Have): Other Azure Services, Python/Scala, DataStage (preferably), and Fabric