Databricks - Lead Architect

Job description

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 solutions - Experience 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 high‑quality, domain‑specific AI agents that automatically refine the performance using enterprise data. - Cloud Architect with experience in Azure along with experience in RFP and proposal writing - Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning - Integrate Genie and AI‑BI tools to enable natural‑language analytics within Databricks One and the broader AI/BI suites. - Experience in Azure Databricks and ADF, Azure Synapse and PySpark - Integrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation. - Participate in pre-sales activities, including RFP and proposal writing - Experience with integration of different data sources with Data Warehouse and Data Lake is required - Understanding of data modelling and data architecture concepts - To be able to clearly articulate pros and cons of various technologies and platforms - Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud - Define 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