Retail Data Architect

We are looking for Retail Data Architect for our client in Issaquah, WA .

Job Title: Retail Data Architect

Job Location: Issaquah, WA

Job Type: Contract

Job Overview:

Pay Range $65/hr - $70/hr

• We are looking for an experienced Retail Data Architect with strong expertise in modern data architecture, retail domain knowledge, and cloud-native database technologies.

Requirement/Must Have:

• 8+ years of experience in Data Architecture.
• 3+ years of experience in Data Modeling.
• 4+ years of experience with Erwin Data Modeling tools.

Responsibilities:

• Design and develop enterprise data models using Erwin for both OLTP and OLAP environments, including support for JSON and mixed data types.
• Create and optimize modernized web application data models focused on scalability, performance, and efficient application processing.
• Reverse engineer existing data models and transform them into future-state architectures aligned with business and technical requirements.
• Lead data modeling efforts for modernization and re-architecture initiatives across enterprise applications.
• Define and implement data governance and data management best practices.
• Evaluate and recommend appropriate database technologies on Google Cloud Platform for structured and unstructured datasets.
• Work across multiple database technologies including DB2, Cloud SQL, AlloyDB, BigQuery, and related platforms.
• Collaborate with cross-functional teams to understand retail business processes, module interdependencies, and enterprise data elements.
• Support Domain Driven Design (DDD) principles and architectural best practices in solution design.
• Guide and mentor junior data modelers and architects within an onsite-offshore delivery model.
• Effectively manage multiple priorities in a fast-paced and evolving environment.

Nice to Have:

• 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.

Skills:

• Strong hands-on experience with Erwin Data Modeling tools.
• Expertise in designing OLTP and OLAP data models, including JSON-based and complex data structures.
• 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.