Databricks - Lead Architect

Area(s) of responsibility Databricks Sr. Architect - 7A Grade Experience: 15 to 18 Years Responsible for designing and implementing secure, scalable, and highly available cloud-based solutionsExperience in enterprise adoption ensures the integration of modern, AI-driven capabilities and aligns architecture with key business outcomes.Experience in Implementing Agent Bricks to enable highquality, domainspecific AI agents that automatically refine the performance using enterprise data.Cloud Architect with experience in Azure along with experience in RFP and proposal writingExperience in creating Data warehouse, data lakes for Reporting, AI and Machine LearningIntegrate Genie and AIBI tools to enable naturallanguage analytics within Databricks One and the broader AI/BI suites.Experience in Azure Databricks and ADF, Azure Synapse and PySparkIntegrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation.Participate in pre-sales activities, including RFP and proposal writingExperience with integration of different data sources with Data Warehouse and Data Lake is requiredUnderstanding of data modelling and data architecture conceptsTo be able to clearly articulate pros and cons of various technologies and platformsCollaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloudDefine and implement cloud governance and best practices.Identify and implement automation opportunities to increase operational efficiency.Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies. Mandatory Technologies: Databricks, PySPark, Azure DevOPS, Databricks Genie, Agent Bricks Area(s) of responsibility Databricks Sr. Architect - 7A Grade Experience: 15 to 18 Years Responsible for designing and implementing secure, scalable, and highly available cloud-based solutionsExperience in enterprise adoption ensures the integration of modern, AI-driven capabilities and aligns architecture with key business outcomes.Experience in Implementing Agent Bricks to enable highquality, domainspecific AI agents that automatically refine the performance using enterprise data.Cloud Architect with experience in Azure along with experience in RFP and proposal writingExperience in creating Data warehouse, data lakes for Reporting, AI and Machine LearningIntegrate Genie and AIBI tools to enable naturallanguage analytics within Databricks One and the broader AI/BI suites.Experience in Azure Databricks and ADF, Azure Synapse and PySparkIntegrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation.Participate in pre-sales activities, including RFP and proposal writingExperience with integration of different data sources with Data Warehouse and Data Lake is requiredUnderstanding of data modelling and data architecture conceptsTo be able to clearly articulate pros and cons of various technologies and platformsCollaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloudDefine and implement cloud governance and best practices.Identify and implement automation opportunities to increase operational efficiency.Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies. Mandatory Technologies: Databricks, PySPark, Azure DevOPS, Databricks Genie, Agent Bricks