Data Architect / Senior Data Architect

Enterprise Data Architecture design Data Warehousing architecture and modeling Desired Skills & Experience 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

10+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platforms, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

You will receive the following benefits: Bonus Eligible (5-10%) Medical, Dental, and Vision Insurance 401(k) Plan Paid Time Off Career Growth Opportunities Enterprise-Scale Data Transformation Initiative

A leading financial services organization is seeking a Data Architect / Senior Data Architect to join a newly established enterprise data organization in Richardson, TX. This is a full-time position requiring 4 days’ onsite per week and offers the opportunity to help shape the future of a company-wide data transformation initiative. The organization has made significant investments in modernizing its data ecosystem and is building its next-generation data platform on AWS and Snowflake.

This is more than a traditional architecture role. You’ll work directly with executive leadership and business stakeholders to define enterprise data strategy, create long-term data roadmaps, and build scalable data products that drive business outcomes. You’ll also have the opportunity to help incorporate emerging AI technologies, including LLMs, RAG, MCP, and Vector Database architecture, as part of the company’s future-state data platform.