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Retail Data Architect || Remote || Contract

Amaze Systems IncUnited States🇺🇸United StatesPosted Sep 9, 2026

Why This Role Stands Out

Shape the future of enterprise retail data platforms as a Remote Retail Data Architect, where you'll leverage your expertise in data modeling and governance to drive impactful solutions for Amaze Systems Inc. This role is ideal for experienced data professionals seeking to expand their skills in a flexible, remote environment while contributing to a leading technology company.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
4 weeks ago

Job Description

  • Design conceptual, logical, and physical data models for enterprise retail data platforms.
  • Develop and maintain enterprise data models, subject-area models, dimensional models, and canonical data models.
  • Use Erwin Data Modeler for data modeling, reverse engineering, forward engineering, and model management.
  • Perform data profiling and source-system analysis to understand data structures, relationships, quality issues, and business rules.
  • Define data quality rules, Critical Data Elements (CDEs), data standards, and validation requirements.
  • Establish and maintain end-to-end data lineage, including source-to-target mappings and transformation logic.
  • Define and implement data governance frameworks, including ownership, stewardship, policies, standards, and business glossaries.
  • Work with Master Data Management (MDM) teams on Customer, Product, Supplier, Store/Location, and other master domains.
  • Define golden records, match/merge rules, survivorship rules, hierarchies, and reference data.
  • Develop and maintain business, technical, and operational metadata.
  • Collaborate with data engineers, business analysts, data stewards, governance teams, and application architects.
  • Perform impact analysis for changes to source systems, data models, integrations, and downstream consumers.
  • Ensure data architecture aligns with enterprise architecture, security, privacy, and regulatory requirements.
  • Support modernization initiatives involving Data Warehouse, Data Lake, Lakehouse, cloud platforms, and analytics environments.

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