What are the responsibilities and job description for the Salesforce Data cloud Architect position at Compunnel?
Salesforce Data cloud Architect
California, Aliso Viejo 04/20/2026 Contract Active
Job Description:
Job Summary
We are seeking a Salesforce Data Cloud Architect with extensive experience in enterprise data platforms and Salesforce Data Cloud. This role focuses on designing scalable data architectures, enabling unified customer data platforms, and integrating advanced analytics and AI-driven solutions.
The ideal candidate will have strong expertise in Salesforce ecosystem architecture, data governance, and large-scale data integration, along with the ability to align technical solutions with business objectives.
Key Responsibilities
Design and define the overall data architecture strategy for Salesforce Data Cloud aligned with business goals
Architect and implement integration solutions between Salesforce Data Cloud and enterprise systems
Develop scalable data models, data lake objects, and harmonization strategies
Implement identity resolution, calculated insights, and advanced segmentation strategies
Establish and enforce data governance, security, and compliance frameworks (e.g., GDPR, CCPA)
Lead Customer 360 implementations to enable unified customer views and personalized engagement
Design and manage ETL/ELT pipelines and API-based integrations
Collaborate with teams to integrate AI/ML solutions, including Agentforce, Einstein Studio, and RAG-based systems
Support real-time personalization, predictive analytics, and recommendation engines
Work with Enterprise Architecture teams on data modeling and system design
Guide development teams in implementing Salesforce solutions (Apex, Visualforce, Lightning) effectively
Ensure data quality, consistency, and integrity across platforms
Collaborate with onsite and offshore teams and stakeholders to deliver solutions
Participate in solution design discussions and provide multiple approaches to problem-solving
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
8–10+ years of experience in Salesforce or enterprise data platforms
3+ years of hands-on experience with Salesforce Data Cloud
Deep understanding of Data Cloud architecture, including objects, data models, data lake objects, and harmonization
Expertise in Data Cloud Query Language (DQL) and segmentation strategies
Strong knowledge of data architecture, data governance, MDM, data lakes, and data warehousing
Experience designing large-scale customer data platforms (CDP) and unified data solutions
Experience with cloud platforms such as AWS, Azure, GCP, Snowflake, or Databricks
Expertise in API integrations, ETL/ELT pipelines, and event-driven architectures
Experience with Salesforce ecosystem tools such as MuleSoft, Marketing Cloud, Tableau, and Data Loader
Strong understanding of Salesforce architecture, integration patterns, and API frameworks
Experience with real-time data processing and personalization strategies
Strong problem-solving and analytical skills
Excellent communication and stakeholder management skills
Preferred Qualifications
Experience in healthcare domain environments
Experience working with distributed teams (onsite/offshore collaboration)
Experience integrating external LLMs and advanced AI models with Salesforce ecosystems
Experience with Einstein Analytics and advanced data management platforms
Strong ability to design multiple solution approaches for complex scenarios
Certifications (If Any)
Salesforce Certified Data Cloud Consultant (required)
Salesforce Application Architect or System Architect (at least one preferred)