Data Architect

Motion Recruitment Partners LLC.

Richardson, TX, United States

13 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Business Analytics Applications Data Architecture Information Engineering Data Integration Data Warehousing Performance Tuning Cloud Platform System Data Ingestion Retrieval-Augmented Generation Large Language Models

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Snowflake Data Strategy

Job description

We are seeking a Senior Data Architect to help drive the next generation of enterprise data capabilities within a rapidly growing, newly centralized data organization. This role will play a key part in designing and implementing modern data architectures, data products, and strategic roadmaps that support enterprise-wide analytics, reporting, and AI initiatives.

In this highly visible position, you will partner directly with business leaders, engineering teams, and data stakeholders to define data strategy, architect scalable solutions, and establish best practices across a modern AWS and Snowflake ecosystem. This is an opportunity to influence the future-state data platform from the ground up within a highly collaborative and strategic environment., * Design and implement enterprise data architectures leveraging AWS and Snowflake

Define data platform strategy, roadmaps, and best practices in partnership with business and technology leaders
Architect scalable data ingestion, storage, governance, and analytics solutions
Evaluate and incorporate emerging AI technologies and data products into the organization’s long-term vision

Requirements

Strong experience designing enterprise Data Architectures, Data Warehouses, and scalable cloud-based data platforms
Deep expertise with AWS and Snowflake, including warehouse sizing, clustering, partitioning, and performance optimization
Experience developing data roadmaps, architecture standards, and long-term data strategies
Strong understanding of data ingestion patterns, data integration frameworks, and modern data engineering practices

Desired Skills & Experience

Experience with AI-enabled data architectures and emerging AI technologies
Knowledge of RAG (Retrieval-Augmented Generation), Vector Databases, MCP, and Large Language Models (LLMs)
Experience building data products and supporting advanced analytics initiatives
Financial services, banking, or regulated industry experience, Applicants must be currently authorized to work in the US on a full-time basis now and in the future