Job Description: Job Description: We are seeking candidates who possess both *hands-on* experience and architecture skills in the below technology stacks. This includes developing architecture best practices, and accelerators, conducting code reviews, implementing coding best practices, as well as optimizing costs and performance. The ideal candidate should have implemented at least one E2E project using Delta Lake architecture and delta processing. They should also have experience in DevOps/DataOps, monitoring cloud environments, and developing operational metrics and alerts. Additionally, the ideal candidate should have in-depth experience with Azure services for capacity management and cost optimization, and a strong understanding of Azure security practices using AAD integrations. They should possess implementation knowledge of data governance, cataloging, and data distribution, including egress/ingress costs and Delta/CDC processing. Technology Stacks Databricks Delta table Delta Live Table Delta Share and Unity catalog Pyspark Spark optimization concepts Databricks Compute/Cost understanding Databricks Workspace features Synapse Synapse Pipelines and various adapters Partition, parallel, and Delta load Strategies Metadata-driven framework with Audit-Balance and Control Features Advanced data optimization concepts using serverless, sql managed pool Automation/Scripting/DevOps Powershell, Azure CLI, or any scripting tool Handling API and AAD authentications Understanding Power BI is a plus Job Type: Full-time Schedule: 8 hour shift Experience: Azure: 10 years (Required) Architect: 8 years (Required) Work Location: On the road