📋 Description

• Define and drive the overall Data and AI platform architecture using Databricks, Delta Lake, Unity
• Develop scalable architecture patterns enabling AI-ready data products, governed analytics, and
• Architect secure LLM and Generative AI enablement capabilities, including RAG, embeddings, vector
• Design agentic AI capabilities to support data platform operations: metadata discovery, catalog
• Enable AI-assisted documentation generation, pipeline troubleshooting, automated test generation
• Establish architecture standards for governed data products, certified metrics, semantic layers

🎯 Requirements

• 10+ years of professional experience in solution architecture, data architecture, platform
• Strong experience designing modern data platforms, preferably using Databricks, Delta Lake, and
• Solid understanding of lakehouse architecture, data governance, metadata management, data products
• Practical knowledge of AI/GenAI architecture patterns, including LLMs, RAG, embeddings, vector
• Experience designing or enabling agentic AI workflows, for data discovery, lineage, quality
• Strong SQL skills and familiarity with modern data engineering and analytics ecosystems.

🎁 Benefits

• Remote work: Work from a location that supports your productivity.
• Contract engagement: Project-based opportunity on a high-impact initiative.
• Senior-level scope: Own architecture decisions across data, AI, governance, and analytics.
• Cutting-edge technology exposure: Databricks, lakehouse, LLMs, agentic AI, semantic layers
• High-impact projects: Establish foundational AI-powered analytics capabilities.
• Strategic influence: Shape standards for AI-ready data products and governance.