Position Details
About this role
This role involves designing and governing Skechers' consumer data ecosystem, enabling personalization, loyalty, and machine learning capabilities across digital channels.
Key Responsibilities
- Designing consumer data architecture
- Implementing data quality frameworks
- Partnering with data science teams on ML pipelines
- Ensuring data governance and privacy compliance
- Architecting scalable data models and pipelines
Technical Overview
The position requires full-stack technical knowledge in enterprise data platforms, including data lakes, warehouses, ML pipelines, and Salesforce integration, with a focus on security and compliance.
Ideal Candidate
The ideal candidate is a senior data architect with extensive experience designing and governing enterprise data ecosystems, including customer data platforms, data lakes, and warehouses. They possess strong technical leadership skills and hands-on experience with ML pipelines and compliance regulations.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Salesforce Core Platform, No experience in data governance or data modeling, Absence of knowledge in GDPR or CCPA compliance
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