Data Architect with strong Retail and AWS Experience : Plano, TX(Hybrid) only Local

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Deepika Dua

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Apr 22, 2026, 10:33:24 AMApr 22
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Greetings,

Please check below Job Description :

 

Please share 15 Years experience candidates with Retail domain is must

Include contact details and the LinkedIn profile link of the candidate in the email.

Mention Candidate current location & work Authorization/Visa status of the candidate

 

Role : Data Architect with strong Retail and AWS Experience

Location : Plano, TX(Hybrid) (once in a week)

Duration : Long Term

 

Job Description :-

AWS, AWS (RDS PostgreSQL, ElastiCache, S3, EventBridge, Glue, DMS), Datastax Astra, Neptune, SageMaker Feature Store, EMR, Snowflake

Retail experience is required for this position .

 

Own the data layer of a multi-tenant ecommerce platform running commercially competing retail brands on shared infrastructure. The core challenge is designing data isolation across brands sharing the same platform while meeting PCI-DSS and GDPR compliance requirements for cardholder data and customer PII.

 

What you'll do:

  • Design and enforce the canonical domain model (Product, Order, Customer, Cart, Inventory, Price, Payment) that all brands conform to
  • Design the data pipelines connecting enterprise systems (ERP, OMS, Inventory, CRM, Pricing, payments) to the platform
  • Design the data infrastructure to support future AI/ML workloads — tenant-partitioned feature stores, clickstream capture, entity resolution, data lineage, and PII governance
  • Lead brand migration. Facilitate workshops with brand teams and upstream system owners to map existing data to the canonical model, identify gaps, and agree the migration path & data migration automation
  • Present data architecture decisions as formal ADRs to the Architecture Review Board
  • Partner with the Platform Architecture Lead as the data domain expert — drive the data workstream independently

 

Tech stack:

AWS, AWS (RDS PostgreSQL, ElastiCache, S3, EventBridge, Glue, DMS), Datastax Astra, Neptune, SageMaker Feature Store, EMR, Snowflake

 

What you bring:

  • Multi-tenant data isolation at scale
  • Event-driven architecture and change data capture pipeline engineering
  • Ecommerce domain modeling across order management, inventory, and pricing
  • Snowflake or equivalent data warehouse/lakehouse technologies . schema design, partitioning strategies, and query optimization
  • PCI-DSS and GDPR data compliance . classification, encryption, access controls, and audit trails for cardholder data and customer PII
  • Java and Python proficiency
  • AI/ML foundational knowledge understanding of feature engineering, data pipelines for model training, and how data architecture decisions enable or constrain ML workloads
  • Experience driving cross-team alignment and architecture decisions through formal review

 

 

 

Regards,
Deepika Dua

VBeyond Corporation

https://www.linkedin.com/in/deepika-dua-018459166/

E: Deep...@vbeyond.com | www.vbeyond.com

390 Amwell Road, Suite # 107, Hillsborough, NJ 08844

 


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