Job Title

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 strategiesRoles 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.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.