Local to WA | Local DL is MUST
Location: Issaquah, WA (Hybrid)
Duration: 12+ Months
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Must have:
- 8+ Years of exp in Data Architecture
- 3+ Years of Exp in Data Modeling
- 4+ Years of exp in Erwin
- Strong Data Architect – Senior Data Modeler / Data Architect with strong expertise in modern data architecture
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Requirements:
- We are looking for an experienced Retail Data Architect with strong expertise in modern data architecture, retail domain knowledge, and cloud-native database technologies.
- The ideal candidate will play a key role in rearchitecting and modernizing enterprise business applications and data models for scalable, high-performance platforms on GCP.
- 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 GCP 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.
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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 GCP 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.
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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.
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In compliance with the salary transparency law, the expected pay range for this role is $60 – 70/hr. Actual compensation depends on experience and interview evaluation.
Thanks
Mayank Verma
Senior Technical Recruiter |Â Empower Professionals
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mayank@empowerprofessionals.comÂ