Our Client 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
Requirements
- 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
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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