Technology

Retail Data Architect

Comprehensive Resources Inc.Issaquah, WA🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

This role offers an exciting opportunity to shape the future of retail data architecture, leveraging your expertise in cloud-native technologies and data modeling to drive significant impact within a reputable company. You'll thrive here if you possess strong retail domain knowledge, a passion for modernizing complex data systems, and enjoy collaborating with diverse teams. Apply now to embark on a rewarding career journey where your skills in data governance and advanced modeling will be highly valued.

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Issaquah, WA, United States

Posted

1 week ago

SQLBigQueryGoogle Cloud

Job Description

Role : Retail Data Architect
Location : Issaquah, WA - 5 Days on Site

Client Job Description:
Required Skills & Qualifications :
Strong hands-on experience with Erwin Data Modeling tools. Expertise in designing OLTP and OLAP data models, including JSON-based and complex data structures.
Experience building high-performance data models for modern web applications.
Strong understanding of data governance, metadata management, and data management principles.
Experience with Google Cloud Platform database selection strategies and cloud-native architecture.
Hands-on experience with technologies such as DB2, Cloud SQL, AlloyDB, BigQuery, and other modern database platforms.
Strong retail domain experience with understanding of retail workflows, business processes, and data dependencies.
Proven experience in rearchitecting legacy application data models for modern technology stacks.
Ability to reverse engineer and modernize complex enterprise data models.
Strong communication and leadership skills with experience working in onsite-offshore delivery models. Self-driven, adaptable, and capable of navigating ambiguity and changing priorities.
Solid understanding of Domain Driven Design patterns and principles.
Preferred Qualifications:
Experience with enterprise modernization and digital transformation initiatives.
Prior experience leading data architecture discussions with business and technical stakeholders.
Exposure to cloud-native application architectures and distributed systems.