Remote Principal Data & AI Platform Architect

Delan Associates, Inc; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Delan Associates, Inc. is seeking a Principal Solution Architect to lead AI-ready data capabilities on a modern Databricks Lakehouse foundation.

You will define architecture patterns for LLM-powered analytics, GenAI, and secure data products, with governance, semantic layers, and metadata intelligence at the core.

This remote contract role targets candidates with 10+ years of data/AI platform experience and a proven ability to drive large-scale data initiatives.

Qualifications

• 10+ years of experience in solution/enterprise architecture for data and AI platforms.
• Experience designing and implementing data lakehouse architectures and governance patterns.

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

Skills

CI/CD

SQL

Tools

Databricks

Delta Lake

Unity Catalog

Job description

Delan Associates, Inc. is seeking a Principal Solution Architect to lead AI-ready data capabilities on a modern Databricks Lakehouse foundation.

You will define architecture patterns for LLM-powered analytics, GenAI, and secure data products, with governance, semantic layers, and metadata intelligence at the core.

This remote contract role targets candidates with 10+ years of data/AI platform experience and a proven ability to drive large-scale data initiatives.