Data Architect

Job Summary :

We are seeking a talented Azure Data Architect with strong expertise in Azure Databricks, specifically in PySpark and SQL, to join our data team. You will play a key role in Architecture, building secure, scalable data pipelines and end to end implementing robust data governance strategies

Roles and Responsibilities :

• Design and implement end-to-end data architecture solutions on the Microsoft Azure platform.
• Build, optimize, and manage ETL/ELT pipelines for efficient data ingestion, transformation, and processing.
• Collaborate with data engineers, analysts, and business stakeholders to support analytics and reporting requirements.
• Ensure data quality, integrity, governance, and consistency across multiple data sources.
• Architect solutions using Azure services such as Azure Synapse, Azure Databricks, Azure Storage, and Azure SQL.
• Support integration of AI-driven capabilities using Azure AI Foundry where applicable.
• Establish best practices for performance tuning, scalability, cost optimization, and security in Azure data environments.
• Stay updated with evolving Azure technologies and industry best practices in modern data architecture.

Skills Required :

• Strong experience in designing and implementing cloud-based data architectures on Microsoft Azure.
• Proficiency in working with Azure Synapse Analytics, Azure Databricks, and Azure Storage solutions.
• Good to have experience in MS Fabric.
• Expertise in building scalable data pipelines and managing large-scale data processing systems.
• Good understanding of Azure SQL and data modeling concepts for enterprise data platforms.
• Familiarity with Apache Spark for distributed data processing is an added advantage.
• Experience with CI/CD practices for deploying and managing data solutions efficiently.
• Working knowledge of Python and SQL for data engineering and transformation tasks.
• Ability to ensure data governance, security, and compliance across cloud data ecosystems.