Solutions Architect( Azure & Analystics)

The ideal candidate will be responsible for working cross-functionally to understand architecture needs by multiple business units. To be effective in this position, you must feel comfortable owning the entire architecture development process from inception to completion. Responsibilities1. Lead the architecture, design, and implementation of advanced analyticssolutions using Azure Databricks/ Fabric. The ideal candidate will have a deepunderstanding of big data technologies, data engineering, and cloudcomputing, with a strong focus on Azure Databricks along with Strong SQL. 2. Work closely with business stakeholders and other IT teams to understandrequirements and deliver effective solutions. 3. Oversee the end-to-end implementation of data solutions, ensuring alignmentwith business requirements and best practices. 4. Lead the development of data pipelines and ETL processes using AzureDatabricks, PySpark, and other relevant tools. 5. Integrate Azure Databricks with other Azure services (e.g., Azure Data Lake,Azure Synapse, Azure Data Factory) and on-premise systems. 6. Provide technical leadership and mentorship to the data engineering team,fostering a culture of continuous learning and improvement. 7. Ensure proper documentation of architecture, processes, and data flows,while ensuring compliance with security and governance standards. 8. Ensure best practices are followed in terms of code quality, data security, andscalability. 9. Stay updated with the latest developments in Databricks and associatedtechnologies to drive innovation.QualificationsDemonstrated expertise of 8+ years in developing data ingestion andtransformation pipelines using Databricks/Synapse notebooks and Azure DataFactory. 2. Solid understanding and hands-on experience with Delta tables, Delta Lake, andAzure Data Lake Storage Gen2. 3. Experience in efficiently using Auto Loader and Delta Live tables for seamlessdata ingestion and transformation. 4. Proficiency in building and optimizing query layers using Databricks SQL. 5. Demonstrated experience integrating Databricks with Azure Synapse, ADLSGen2, and Power BI for end-to-end analytics solutions. 6. Prior experience in developing, optimizing, and deploying Power BI reports. 7. Familiarity with modern CI/CD practices, especially in the context of Databricksand cloud-native solutions.