Job Responsibilities Design and implement scalable, high-performance data architectures within the Azure ecosystem, including Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Cosmos DB. Define data strategies, data flows, and the architecture of data pipelines for both structured and unstructured data. Architect efficient and secure data storage solutions for data lakes, data warehouses, and operational data stores, ensuring alignment with business requirements. Create data models, including conceptual, logical, and physical models, to support both transactional and analytical systems Develop and manage end-to-end cloud data architectures using Azure Data Factory, Azure Databricks, Azure Functions, and other services to enable ETLELT processes. Ensure the architecture supports real-time and batch processing for large datasets. Develop and enforce data governance policies, including data quality, lineage, and metadata management using tools like Azure Purview. Implement data encryption, masking, and anonymization techniques to protect sensitive data within the architecture. Design and manage complex data pipelines and workflows for ingestion, transformation, and loading using Azure Data Factory, Apache Spark, and Databricks. Collaborate with data engineers to optimize pipelines for performance, reliability, and scalability. Monitor and troubleshoot performance issues in Azure Synapse, Azure SQL Database, and Data Lake Storage to ensure fast data retrieval and processing. Collaborate with cross-functional teams, including data engineers, data scientists, software developers, and business stakeholders, to understand their data needs and provide architecture solution Develop detailed architecture documentation, including diagrams, data flows, and technical specifications, to ensure the team and stakeholders understand the data architecture.Skills: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, Apache Spark, Hadoop, Databricks, and Azure HDInsight. Azure Event Hubs, Azure Stream Analytics, Python, Scala, or Java, spark SQL and PySpark (1.) To architect, design and develop [through team] solution for product or sustenance delivery. (2.) To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated. (3.) To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements. (4.) To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.