REMOTE- Sr. Data Architect
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Senior Data Architect
Location: Remote - Plano, TX preferred
Compensation: $150,000 – $160,000
Overview:
We are seeking a Senior Data Architect to lead the design and evolution of a complex, multi-brand eCommerce data platform. This individual will operate as a Data Domain Lead, owning architecture across multiple systems and driving scalable, compliant, and high-performance data solutions in a multi-tenant environment.
Key Responsibilities:
- Design and own enterprise-level data architecture across domains such as orders, inventory, pricing, and customer data
- Build and optimize event-driven data pipelines and Change Data Capture (CDC) frameworks
- Architect scalable multi-system, multi-tenant data platforms, ensuring data isolation and integrity
- Define and enforce canonical data models across enterprise systems (ERP, OMS, CRM, payments, etc.)Lead data migration and integration efforts across multiple brands and platforms
- Implement and maintain data governance frameworks, including PII handling and regulatory compliance (PCI-DSS, GDPR)
- Partner with cross-functional teams to drive architecture alignment and present decisions to leadership
- Support AI/ML data initiatives, including feature stores, data lineage, and advanced analytics use cases
Required Qualifications:
10+ years of experience in enterprise Data Architecture (not just engineering)
Strong hands-on experience with:
- Event-driven architectureCDC pipelines
- Deep expertise in eCommerce data domains (orders, inventory, pricing, customer)
- Experience designing multi-tenant / multi-system data platforms
- Strong experience with Snowflake or similar data warehouse/lakehouse technologies
- Solid understanding of PCI-DSS and GDPR compliance, including data governance and PII handling
- Proficiency in Java and/or PythonStrong communication skills with the ability to influence stakeholders across technical and business teams
Preferred Qualifications:
Experience with AWS services such as S3, Glue, EventBridge, DMS, EMR, and RDSExposure to AI/ML data pipelines or feature store architectures Background in retail, eCommerce, or multi-brand environments
What Success Looks Like:
- Acts as the go-to data architecture leader across a complex ecosystem
- Drives alignment across engineering, product, and business stakeholders
- Designs scalable, compliant systems that support growth across multiple brands