ABOUT THE ROLE:

Skechers Digital Team is seeking a Salesforce Data Cloud Architect reporting to the Director, Digital Architecture, Consumer Domain. This roleis responsible fordesigning and governing Skechers27 Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher27s consumer domain, andhave the ability towork in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advancedpersonalizationand recommender systems.

WHAT YOU27LL DO:

• Responsible for the full technicallife cycleofconsumerplatform capabilities which includes:
  • Capability roadmap and technical architecture in alignment to consumerexperience
  • Technical planning, design, and execution
  • Operations, analytics/reporting, and adoption
• Define and evolve Skechers27 Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation,deduplication, anomaly detection, and observability.
• OptimizeSQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams toproductionizemodels using distributed platforms such as Databricks (Spark, Delta Lake,MLflowpreferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate businessobjectives(LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 10+years experiencearchitecting enterprise data platforms in cloud environments.
• 8+years experiencewith data engineering with a focus on consumer data.
• 6+yearsexperienceworking with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolutionarchitectures.
• Provenexpertisein SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines andrecommendersystems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Salesforce Certifications preferred (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.

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