Senior Lakehouse Ai Platform Engineer

Engineer enterprise Lakehouse and AI foundations in Azure Databricks across the Greater Toronto Area, with a hybrid four-day onsite schedule.As a Senior Data Engineer, you will enable production AI pipelines alongside enterprise data architecture. Your work spans RAG, vector search, LLM integrations, custom MCP servers, and Medallion layers. You will connect technical delivery with business analytics and AI use cases.Key Responsibilities:
Build RAG pipelines with document ingestion and embeddingsIndex enterprise data for vector search and retrievalDevelop MCP servers and secure LLM API integrationsExpose Lakehouse data to AI agents and applicationsBridge data engineering with business analytics and AI usesRequirements:
Production Azure Databricks Lakehouse delivery experienceAdvanced Python, PySpark, Spark SQL, and Delta Lake skillsExperience developing production RAG workflows and vector searchHands-on MCP server or enterprise AI integration experienceConfident communication with stakeholders and executive leadershipBring senior data engineering depth to RAG, vector search, LLM integrations, MCP servers, and Azure Databricks architecture.
#J-18808-Ljbffr