We are looking for a highly experienced Azure Databricks & Agentic AI Architect to design and lead next-generation AI-powered data platforms. The ideal candidate will have 15+ years of Data & Analytics experience, strong Azure Databricks/Lakehouse expertise, and hands-on experience with Generative AI, Agentic AI, and AI-driven Data Engineering.
Key Responsibilities
Design enterprise-scale Azure Databricks Lakehouse platforms using Delta Lake, Unity Catalog, ADLS Gen2, Databricks Workflows, and Delta Live Tables.
Lead the implementation of Agentic AI for autonomous data ingestion, mapping, transformation, data quality, metadata enrichment, lineage, testing, and pipeline optimization.
Design AI-driven Data Development Lifecycle (AI-DLC) solutions covering requirements, data modeling, code generation, testing, documentation, deployment, and monitoring.
Architect RAG-based GenAI solutions using enterprise data.
Design AI agent orchestration using Azure OpenAI, LangGraph, LangChain, Semantic Kernel, AutoGen, and MCP.
Build domain-specific AI agents for Data Engineering and Analytics teams.
Design self-healing data pipelines and AI-driven incident triage, failure prediction, SLA monitoring, capacity planning, and cost optimization.
Establish Human-in-the-Loop (HITL) frameworks and governance for autonomous AI agents.
Define enterprise AI governance covering security, observability, auditability, prompt governance, cost monitoring, and responsible AI.
Mentor architects, data engineers, and AI engineers.
Lead enterprise architecture discussions and communicate AI strategy and business value to senior/CXO stakeholders.
Preferred
Databricks Certified Data Engineer Professional
Databricks Certified Solution Architect
Azure Solutions Architect Expert (AZ-305)
Azure Data Engineer (DP-203)
Azure OpenAI / Generative AI certifications
Experience leading enterprise AI transformation initiatives
Strong executive and client-facing communication skills
Ideal Candidate: A forward-looking architect who can combine Azure Databricks + Data Engineering + Generative AI + Agentic AI to build autonomous, intelligent, governed, and scalable enterprise data ecosystems.
Requirements
Required Skills
15+ years of Data & Analytics experience
Strong hands-on Azure Databricks
Lakehouse Architecture
Delta Lake & Unity Catalog
ADLS Gen2
Azure Data Factory
PySpark, Spark SQL, Python & SQL
Azure OpenAI
Generative AI & Agentic AI
RAG Architecture
LangChain / LangGraph
MCP Protocol
AI Agent Orchestration
Vector Databases / Knowledge Graphs
Azure DevOps & CI/CD
MLOps / LLMOps
AI Testing & Evaluation Frameworks
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