Compunnel, Inc.
We are seeking an experienced Salesforce Data Cloud Architect to design and implement enterprise-scale data solutions leveraging Salesforce Data Cloud.
This role involves architecting Customer 360 platforms, integrating AI/ML capabilities, and ensuring robust data governance and compliance.
The ideal candidate will have deep expertise in Salesforce Data Cloud, data architecture, and cloud-native technologies.
Key Responsibilities
Design and implement Salesforce Data Cloud architecture, including data models, harmonization, calculated insights, and identity resolution. Develop advanced segmentation strategies using Data Cloud Query Language (DQL). Architect and integrate AI/ML solutions with Data Cloud, including Einstein Studio and RAG-based retrievers. Collaborate with enterprise architecture teams to define Salesforce data modeling strategies. Implement integration solutions between Salesforce Data Cloud and other enterprise systems. Establish and enforce data governance practices to ensure data accuracy, security, and compliance. Lead Customer 360 implementations for unified customer views and personalized engagement. Support advanced analytics and predictive modeling initiatives within Salesforce. Coordinate between onshore and offshore teams and manage stakeholder communication. Ensure compliance with regulatory standards (e.g., GDPR, CCPA). Required Qualifications
8–10+ years of experience in Salesforce and enterprise data platforms. 3+ years of hands-on experience with Salesforce Data Cloud. Expertise in Salesforce Data Cloud architecture, objects, and data lake concepts. Strong knowledge of data architecture, governance, MDM, and data warehousing. Hands-on experience designing large-scale CDP and unified data platforms. Familiarity with cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks). Proficiency in API-based integrations, ETL/ELT pipelines, and event-driven architectures. Experience with Agentforce solutions and AI/ML integrations. Strong problem-solving skills and ability to propose multiple solutions. Preferred Qualifications
Experience working with U.S.-based clients and coordinating across time zones. Familiarity with Salesforce ecosystem tools (MuleSoft, Marketing Cloud, Tableau). Knowledge of Apex, Visualforce, and Lightning for development oversight. Certifications
Salesforce Certified Data Cloud Consultant (must-have). Salesforce Application/System Architect (must have one of the two).
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Design and implement Salesforce Data Cloud architecture, including data models, harmonization, calculated insights, and identity resolution. Develop advanced segmentation strategies using Data Cloud Query Language (DQL). Architect and integrate AI/ML solutions with Data Cloud, including Einstein Studio and RAG-based retrievers. Collaborate with enterprise architecture teams to define Salesforce data modeling strategies. Implement integration solutions between Salesforce Data Cloud and other enterprise systems. Establish and enforce data governance practices to ensure data accuracy, security, and compliance. Lead Customer 360 implementations for unified customer views and personalized engagement. Support advanced analytics and predictive modeling initiatives within Salesforce. Coordinate between onshore and offshore teams and manage stakeholder communication. Ensure compliance with regulatory standards (e.g., GDPR, CCPA). Required Qualifications
8–10+ years of experience in Salesforce and enterprise data platforms. 3+ years of hands-on experience with Salesforce Data Cloud. Expertise in Salesforce Data Cloud architecture, objects, and data lake concepts. Strong knowledge of data architecture, governance, MDM, and data warehousing. Hands-on experience designing large-scale CDP and unified data platforms. Familiarity with cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks). Proficiency in API-based integrations, ETL/ELT pipelines, and event-driven architectures. Experience with Agentforce solutions and AI/ML integrations. Strong problem-solving skills and ability to propose multiple solutions. Preferred Qualifications
Experience working with U.S.-based clients and coordinating across time zones. Familiarity with Salesforce ecosystem tools (MuleSoft, Marketing Cloud, Tableau). Knowledge of Apex, Visualforce, and Lightning for development oversight. Certifications
Salesforce Certified Data Cloud Consultant (must-have). Salesforce Application/System Architect (must have one of the two).
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