Solution Architect — Data & AI Platform

📋 Description

• Define and drive Data & AI platform architecture using Databricks and lakehouse patterns.
• Develop scalable architecture patterns for AI-ready data products and analytics.
• Architect secure LLM and Generative AI enablement (RAG, embeddings, vector search, prompt
• Design agentic AI capabilities for metadata discovery, lineage, data quality, and docs.
• Enable AI-assisted documentation, troubleshooting, automated tests, and runbooks.
• Establish standards for metrics, semantic layers, and consistent business definitions.

🎯 Requirements

• 10+ years of experience in solution architecture, data architecture, or related roles.
• Deep experience designing modern data platforms using Databricks, Delta Lake, Unity Catalog.
• Knowledge of lakehouse, governance, metadata management, data products, and semantic modeling.
• Practical knowledge of AI/GenAI patterns including LLMs, RAG, embeddings, vector search, and model
• Experience enabling agentic AI workflows for data discovery, lineage, quality, documentation
• Strong SQL skills and CI/CD practices for data/AI platform development.

🎁 Benefits

• Remote work: Work from a location that supports your productivity.
• Contract engagement: Project-based opportunity on a high-impact platform.
• Senior-level scope: Own architecture decisions across data, AI, governance.
• Cutting-edge tech exposure: Databricks, lakehouse, LLMs, agentic AI, metadata.
• High-impact projects: Enable future AI-powered analytics and ops.
• Strategic influence: Shape standards for enterprise data and AI.