Salesforce Data Cloud Architect

Kforce has a client in Fitchburg, WI that is looking for a Salesforce Data Cloud Architect for a remote contract to hire opportunity. Responsibilities:

• Lead the end-to-end architecture and implementation of Salesforce Data Cloud solutions
• Design scalable data models, identity resolution strategies, calculated insights, and segmentation frameworks
• Develop enterprise customer data strategies that support marketing, service, analytics, and AI initiatives
• Define governance, security, privacy, and consent management approaches for Data Cloud
• Design integrations between Salesforce Data Cloud and enterprise systems including EMRs, CRMs, marketing platforms, data warehouses, and third-party applications
• Build and optimize Data Streams, Data Lake Objects, Data Model Objects, Data Actions, and Calculated Insights
• Design identity resolution rules and unified customer profiles
• Ensure high-quality, reliable, and scalable data ingestion processes
• Enable audience segmentation and activation across Marketing Cloud, Health Cloud, Service Cloud, and external platforms
• Design real-time and batch activation strategies
• Support AI use cases including Agentforce, Einstein, and predictive analytics
• Optimize personalization strategies using unified customer profiles
• Monitor and optimize Data Cloud consumption credits
• Recommend best practices for data retention, refresh schedules, segmentation, and data processing
• Identify opportunities to improve performance while reducing operational costs
• Establish monitoring and governance processes
• Lead client discovery sessions and solution workshops
• Translate business requirements into technical architecture and implementation roadmaps
• Present solution designs to executive and technical stakeholders
• Provide strategic recommendations based on Salesforce platform capabilities and industry best practices
• Establish implementation standards, reusable frameworks, and documentation
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field (or equivalent professional experience)
• 2+ years of implementing Salesforce Data Cloud in enterprise environments
• Strong foundation in software engineering principles, including object-oriented programming, algorithms, data structures, system design, and application architecture
• Experience integrating Salesforce with enterprise applications using APIs, MuleSoft, ETL tools, or cloud data platforms
• Strong Python development experience with the ability to build and maintain ETL/ELT pipelines, automate data processing, and develop reusable integration utilities
• Experience designing and consuming REST APIs and integrating enterprise applications using modern authentication and integration patterns
• Experience designing secure, scalable enterprise data architectures
• Strong understanding of customer data platforms (CDPs), identity resolution, and customer 360 concepts
• Strong understanding of source control, CI/CD practices, testing, debugging, logging, and production support for enterprise data solutions
• Deep understanding of Salesforce Data Cloud objects, ingestion methods, segmentation, calculated insights, and activation
• Expert-level SQL skills, including writing and optimizing complex queries, joins, common table expressions (CTEs), window functions, and data transformations across large datasets
• Working knowledge of Server-Side JavaScript (SSJS), with the ability to develop and troubleshoot Marketing Cloud automation and integration scripts
• Knowledge of cloud data platforms such as Snowflake, Databricks, or Big Query
• Excellent communication and client-facing consulting skills
• Demonstrated ability to design and troubleshoot complex distributed systems, APIs, and enterprise integrations