Salesforce Data Cloud Architect

Kforce has a client in Manhattan Beach, CA that is seeking a Salesforce Data Cloud Architect

Responsible for the full technical life cycle of consumer platform capabilities which includes:

• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption

Duties:

• Define and evolve 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
• Optimize SQL 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 to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred)
• 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

• Computer Science, Data Engineering, or related degree or equivalent experience
• Salesforce Certifications preferred (Platform App Builder, Platform Developer 1, JavaScript Developer 1)
• 10+ years of experience architecting enterprise data platforms in cloud environments
• 8+ years of experience with data engineering with a focus on consumer data
• 6+ years of experience working with Salesforce platforms, including data models and enterprise integrations
• Strong experience with Data 360 and identity resolution architectures
• Proven expertise in SQL performance tuning and large-scale data modeling
• Hands-on experience implementing ML pipelines and recommender systems in production environments
• Experience with cloud technologies (AWS, Google Cloud Platform, 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
• Experience with Databricks or similar distributed data/ML platforms preferred

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.