Data Architect (Retail + AWS)

Job Title: Data Architect (Retail Domain + AWS)

Location: Plano, TX (Hybrid – once every 2 weeks / occasional onsite)
Experience: 10+ Years

Job Summary:

We are seeking a seasoned Data Architect with strong experience in the Retail/E-commerce domain and deep expertise in AWS-based data platforms. The ideal candidate will lead the design of scalable, multi-tenant data architecture, enabling seamless integration across enterprise systems while supporting advanced analytics and AI/ML initiatives.

Key Responsibilities:

• Design and enforce a canonical data model across key retail domains: Product, Order, Customer, Cart, Inventory, Pricing, and Payments
• Architect and implement end-to-end data pipelines connecting systems such as ERP, OMS, CRM, Inventory, and Pricing platforms
• Build scalable cloud-native data infrastructure on AWS to support analytics and AI/ML workloads
• Lead data migration and brand onboarding initiatives:
  • Conduct workshops with business and technical teams
  • Map legacy data models to target architecture
  • Define and execute migration strategies and automation
• Implement event-driven architecture and CDC pipelines for real-time data processing
• Ensure data governance, security, and compliance (PCI-DSS, GDPR) including PII handling, encryption, and auditing
• Define and maintain data lineage, data quality, and metadata management frameworks
• Present architecture decisions via ADRs and collaborate with Architecture Review Boards
• Act as the data SME, driving alignment across multiple teams and stakeholders

Required Skills & Experience:

• 10+ years of experience in Data Architecture, preferably in Retail/E-commerce environments
• Strong expertise in AWS data services (S3, Glue, DMS, EMR, EventBridge, RDS PostgreSQL)
• Experience with Snowflake or similar data warehouse/lakehouse platforms
• Proven experience in multi-tenant architecture and data isolation strategies
• Hands-on experience with event-driven systems and Change Data Capture (CDC)
• Strong understanding of retail data models (orders, inventory, pricing, customer)
• Expertise in data governance frameworks and regulatory compliance (PCI-DSS, GDPR)
• Programming experience in Python and/or Java
• Familiarity with AI/ML data pipelines and feature engineering concepts
• Excellent stakeholder communication and ability to drive cross-team architectural decisions

Preferred Skills:

• Experience with Datastax Astra (Cassandra), Neptune (Graph DB)
• Exposure to SageMaker Feature Store or ML data platforms
• Background in large-scale retail transformations or multi-brand ecosystems