Databricks Engineer

Hi Professionals, Title: Agentic AI Architect with Azure Databricks JD: Top 5 must-have areas Azure Databricks / Lakehouse Strong Data Engineering + PySpark/SQL Agentic AI / AI Agents GenAI, RAG, Azure OpenAI, LangGraph/MCP Enterprise architecture & technical leadership Experience: 16 20 years; ideal profile has 15+ years in Data & Analytics . Location: Chicago, IL - Hybrid, 3 days/week in office . Core requirement: Strong Azure + Databricks + Data Engineering + Agentic AI experience. Data Platform: Azure Databricks, Delta Lake, Unity Catalog, ADLS Gen2, ADF, Databricks Workflows/DLT. Data Engineering: PySpark, Spark SQL, Python, SQL, ETL/ELT modernization. Agentic AI: AI Agents for ingestion, mapping, schema evolution, data quality, pipeline optimization, RCA, governance, and self-healing. GenAI: Azure OpenAI, RAG, LangChain, LangGraph, Semantic Kernel, AutoGen, MCP , Vector DBs. AI-DLC: AI-assisted requirements, data modeling, code/pipeline generation, testing, code review, documentation, deployment, and monitoring. Governance: Responsible AI, guardrails, security, auditability, observability, cost monitoring, explainability, and HITL. DevOps/MLOps: Azure DevOps, GitHub Actions, CI/CD, MLOps, LLMOps, AI evaluation/testing. Leadership: Enterprise architecture, reusable AI agents/accelerators, mentoring teams, and CXO-level AI strategy/ROI discussions. Certifications: Databricks, Azure Solution Architect/Data Engineer, Azure OpenAI, GenAI/Agentic AI certifications are preferred. Education: BE/ME/BTech/MTech/BSc/MSc or equivalent engineering/science degree. Key success expectation: Drive 30 50% improvement in Data Engineering productivity through Agentic AI. Agentic AI Architect with Azure Databricks1azure databricks,genai,Azure OPENAI,RAG,Agentic AI Architect,Strong Data Engineering + PySpark/SQL,LangGraph/MCPN/AC2CUnited States

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