Salesforce Data Cloud Architect
Core
Designing and governing Skechers' Consumer Data 360 ecosystem to enable identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.
Role type
Senior IC Salesforce Data Cloud Architect
Builds
Scalable, secure, and high-performance data platforms supporting advanced personalization and recommender systems
Domain
Retail / Consumer Data / Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Enterprise data platform architecture, Salesforce Core Platform (configuration, integration, data models), Identity resolution (deterministic and probabilistic), SQL performance tuning, Large-scale data modeling, ML pipeline design, Distributed data platforms (Databricks, Spark, Delta Lake), Cloud technologies (AWS, GCP, Azure), Integration patterns (API, ETL, event streaming), Data governance and compliance (GDPR, CCPA)
Preferred skills
Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1), Databricks experience
Technologies
Salesforce Data Cloud, Databricks, Spark, Delta Lake, MLflow, AWS, GCP, Azure
Responsibilities
Define and evolve Consumer Data 360 architecture including identity resolution and unified customer profiles; Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse; Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability; Optimize SQL workloads and large-scale distributed queries; Design and oversee ML pipelines for personalization, churn modeling, and recommender systems; Ensure secure data governance, access control, and compliance with privacy regulations
Seniority
Senior, hands-on IC