About this role
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
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