Solution Architect – Data & AI Platform

Job not on LinkedIn

🕒 August 18

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 30%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Delan Associates Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎖️ Defense

📦 Logistics

💼 Consulting

Defense • Logistics • Consulting

Delan Associates Inc. is a professional services and engineering firm, founded in 2002, that provides training, systems engineering, facilities maintenance, acquisition support, and general management services primarily to U. S. government and military customers. The company supports multiple U. S. Army schools with instructor and training services, has provided facilities maintenance and logistics support for operations such as Afghanistan and U. S. Central Command, and offers network and systems engineering expertise including SIPR/NIPR implementations. DAI is an SBA 8(a) certified Small Disadvantaged Business and partners with established defense and government contractors.

📋 Description

• Define and drive Data and AI platform architecture using Databricks, Delta Lake, Unity Catalog, and modern lakehouse design patterns • Architect secure LLM and GenAI enablement patterns • Design agentic AI capabilities for 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, and business definitions

🎯 Requirements

• 10+ years of experience • Experience with Databricks, Delta Lake, Unity Catalog, and modern lakehouse design patterns • Skills in CI/CD and SQL • Experience with LLM and GenAI enablement patterns, including RAG, embeddings, vector search, semantic search, prompt orchestration, model serving, grounding, and AI evaluation • Experience designing agentic AI capabilities • Experience with AI-ready data products, certified metrics, semantic layers, and business definitions

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