> Markdown version of [/jobs/ext/3732269-data-architect-senior-data-architect-aws-snowflake-ai](https://www.wearedevelopers.com/jobs/ext/3732269-data-architect-senior-data-architect-aws-snowflake-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Architect / Senior Data Architect (AWS, Snowflake, AI)

- **Company:** Kelly Services Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Data Warehousing, Enterprise Data Management, Large Language Models, Snowflake, IT Architecture, Generative AI, Model Context Protocol
- **Published:** October 14, 2026
- **Apply:** https://www.dallasjobsite.com/job.asp?id=3438512408&tx=JT10395UTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platforms
 * Strong AWS architecture experience
 * Expert-level Snowflake knowledge
 * Enterprise Data Architecture design
 * Data Warehousing architecture and modeling

## Description

* Experience with AI and modern data platforms
 * Large Language Models (LLMs)
 * Retrieval-Augmented Generation (RAG)
 * Model Context Protocol (MCP)
 * Vector Databases

What You Will Be Doing

Tech Breakdown

 * 40% Data Architecture & Strategy
 * 30% Snowflake & AWS Platform Design
 * 20% Data Integration & Engineering
 * 10% AI Architecture & Innovation

Daily Responsibilities

 * Define current and future-state enterprise data architectures
 * Develop migration strategies and technology roadmaps
 * Partner with business units to translate requirements into scalable data solutions
 * Design enterprise data warehouse and ingestion frameworks
 * Establish architecture standards, governance, and best practices