Senior Databricks Architect with MS Fabric

Responsibilities:

• Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions in MS Fabric
• Experience in enterprise adoption ensures the integration of modern, AI-driven capabilities and aligns architecture with key business outcomes
• MS Fabric, Databricks Architect to lead the design, architecture, and implementation of enterprise-scale data platforms on Databricks.
• Experience overall data architecture strategy, release planning, and platform roadmap while partnering closely with customer stakeholders to accelerate Databricks adoption and modernization initiatives.
• Strong technical leadership, customer-facing communication skills, and the ability to drive solutions from strategy through execution.
• Experience in Implementing Agent Bricks to enable high‐quality, domain‐specific AI agents that automatically refine the performance using enterprise data.
• 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.
• Integrate Azure Data Lake, DevOps pipelines, and Databricks workflows to achieve seamless end-to-end automation.
• 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
• Define and implement cloud governance and best practices.
• Identify and implement automation opportunities to increase operational efficiency.