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Salesforce Data Cloud Architect

Job in Manhattan Beach, Los Angeles County, California, 90266, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-24
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

The pay range for this role is $150,000 - $200,000/yr USD.

ABOUT

THE ROLE

Skechers Digital Team is seeking a Salesforce Data Cloud Architect reporting to the Director, Digital Architecture, Consumer Domain. This roleis responsible for designing and governing Skechers’ 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 Skecher’s 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 YOU’LL 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 Skechers’ 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 business objectives(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 experience with 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.
Equal Employment Opportunity

Skechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for…

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