Description

Key Responsibilities

 

• Architect and implement solutions on the Databricks Lakehouse Platform with strong hands‑on delivery.
• Design scalable data solutions using Delta Lake, Unity Catalog, and strong data modeling practices.
• Build and deploy Databricks Genie or other conversational analytics solutions (mandatory requirement).
• Design and implement Agentic AI services including Mosaic AI, Agent Bricks, and integrate Databricks agents into external platforms (e.g., web applications).
• Develop and maintain Databricks notebooks and workflows for advanced data and AI pipelines.
• Build conversational agents using Databricks’ GenAI and agentic tooling.
• Implement agentic AI principles such as tool usage, multi-step reasoning, orchestration, and guardrails.
• Integrate LLMs into the Lakehouse and perform prompt engineering for production use cases.
• Ensure governance through Unity Catalog, enforce access policies, and implement monitoring & logging best practices.
• Optimize pipelines for cost and performance.
  
   

Skills & Experience Required

 

• Strong hands‑on experience with the Databricks Lakehouse Platform.
• Deep expertise in Delta Lake, Unity Catalog, and data modeling.
• Mandatory experience with Databricks Genie or similar conversational analytics platforms.
• Experience designing agentic workflows and Databricks agentic services.
• Hands‑on development with Python, SQL, PySpark, and Spark SQL.
• Experience developing Databricks notebooks and workflows end‑to‑end.
• Knowledge of LLM integration, prompt design, and AI orchestration.
• Experience with one or more cloud platforms: AWS, Azure, or GCP.
• Strong design experience with Git, CI/CD pipelines, job scheduling, workflow orchestration, monitoring, and logging.
• Databricks certifications are an added advantage. Looking for immediate joiners

Key Skills

Education

Bachelor's degree