Solution Architect — Data & AI Platform

Triwill Group; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Triwill Group is seeking a Principal Solution Architect — Data & AI Platform to lead the design of AI-ready data capabilities on a modern Databricks Lakehouse foundation. This role will focus on building the architecture patterns required to support LLM-powered analytics, conversational AI, agentic AI workflows, governed data products, semantic layers, metadata intelligence, RAG.

Architect secure LLM and GenAI enablement patterns, including RAG, embeddings, vector search, semantic search, prompt

Qualifications

• 10+ years of experience in data/solution architecture.
• Experience designing AI-ready data platforms and governance patterns.
• Strong background in cloud data lakehouse patterns and scalable architectures.

Responsibilities

• Define and drive the Data and AI platform architecture using Databricks, Delta Lake, Unity Catalog, and modern lakehouse design patterns.

Skills

CI/CD

SQL

Databricks

Lakehouse

LLM

GenAI

Vector search

Tools

Databricks

Delta Lake

Unity Catalog

Job description

Description: We're Hiring: Solution Architect — Data & AI Platform

Remote

Contract

Experience: 10+ yrs

Skills: CI/CD, SQL

We are seeking a Principal Solution Architect — Data & AI Platform to lead the design and enablement of AI-ready data capabilities on a modern Databricks Lakehouse foundation. This role will focus on building the architecture patterns required to support LLM-powered analytics, conversational AI, agentic AI workflows, governed data products, semantic layers, metadata intelligence, RAG.

Roles & 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