Solution Architect - Data & AI Platform

Responsibilities

• Define and drive the Data and AI platform architecture using Databricks, Delta Lake, Unity Catalog, and modern lakehouse design patterns.
• Architect secure LLM and GenAI enablement patterns, including RAG, embeddings, vector search, semantic search, prompt orchestration, model serving, grounding, and AI evaluation.
• Design agentic AI capabilities to support data platform operations such as metadata discovery, catalog enrichment, lineage analysis, data quality investigation, documentation generation, pipeline troubleshooting, test generation, and operational runbook support.
• Establish architecture standards for AI-ready data products, certified metrics, semantic layers, business definitions
• Originally posted on Himalayas

Languages