Senior Technical Consultant Salesforce Data Cloud

Conhecimentos Técnicos Requeridos We are seeking a Salesforce Technical Consultant Data Cloud to design, implement, and optimize Data Cloud solutions (formerly Customer Data Platform CDP). This role involves integrating Salesforce Data Cloud with other Salesforce Clouds and enterprise systems to deliver a unified customer view and enable advanced personalization, analytics, and automation. Lead the end-to-end architecture of Salesforce Data Cloud solutions, including data ingestion, harmonization, unification, segmentation, and activation. Design integrations between Data Cloud, Sales, Service, Marketing, and Commerce Clouds, as well as with enterprise data lakes, ERP, CRM, and analytics platforms. Design integrations between Data Cloud, Sales, Service, Marketing, and Commerce Clouds, as well as with enterprise data lakes, ERP, CRM, and analytics platforms. Oversee Data Stream configuration, Data Model Object (DMO) design, Calculated Insights, and Segment creation to enable personalized experiences. Oversee Data Stream configuration, Data Model Object (DMO) design, Calculated Insights, and Segment creation to enable personalized experiences. Collaborate with functional teams to enable personalization use cases, customer journeys, and marketing automation using Data Cloud activations. Communication and Collaboration: Excellent communication, interpersonal, and teamwork skills. Problem-Solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Education and Certifications (preferred) : oSalesforce Certified Data Cloud Consultant oSalesforce Certified Integration Architect or Application Architect Salesforce Certified Marketing Cloud Consultant or Administrator (advantageous) Key Responsibilities: Technical Skills: -Minimum of 6 years of experience in Salesforce technical delivery or architecture roles. -At least 2 years of hands-on experience with Salesforce Data Cloud (CDP) implementation or integration projects. -Proven experience in multi-cloud Salesforce environments and large-scale data integration programs. -Deep knowledge of Salesforce Data Cloud architecture, including ingestion models, data mapping, identity resolution, segmentation, and activation. -Strong proficiency in Salesforce APIs, Mulesoft, ETL, data modeling, and SQL. -Experience designing multi-cloud and hybrid data architectures integrating Sales, Service, Marketing, and external systems. -Understanding of event-based data ingestion, real-time streaming, and data privacy frameworks. -Ability to translate complex data and architecture concepts into clear business value. Problem-Solving: -Strong analytical and problem-solving skills. Communication: -Excellent communication skills to collaborate with cross-functional teams. -Support and interact with diverse teams across multiple locations and time zones. - Interact with a cross-functional team to solve problems and gather requirements. - Should be able to track incidents, service requests, change requests to make sure SLAs are met. Certificação Conhecimento Conhecimentos Técnicos Requeridos We are seeking a Salesforce Technical Consultant Data Cloud to design, implement, and optimize Data Cloud solutions (formerly Customer Data Platform CDP). This role involves integrating Salesforce Data Cloud with other Salesforce Clouds and enterprise systems to deliver a unified customer view and enable advanced personalization, analytics, and automation. Lead the end-to-end architecture of Salesforce Data Cloud solutions, including data ingestion, harmonization, unification, segmentation, and activation. Design integrations between Data Cloud, Sales, Service, Marketing, and Commerce Clouds, as well as with enterprise data lakes, ERP, CRM, and analytics platforms. Design integrations between Data Cloud, Sales, Service, Marketing, and Commerce Clouds, as well as with enterprise data lakes, ERP, CRM, and analytics platforms. Oversee Data Stream configuration, Data Model Object (DMO) design, Calculated Insights, and Segment creation to enable personalized experiences. Oversee Data Stream configuration, Data Model Object (DMO) design, Calculated Insights, and Segment creation to enable personalized experiences. Collaborate with functional teams to enable personalization use cases, customer journeys, and marketing automation using Data Cloud activations. Communication and Collaboration: Excellent communication, interpersonal, and teamwork skills. Problem-Solving and Analytical Skills: Ability to identify problems, analyze data, and propose solutions. Education and Certifications (preferred) : oSalesforce Certified Data Cloud Consultant oSalesforce Certified Integration Architect or Application Architect Salesforce Certified Marketing Cloud Consultant or Administrator (advantageous) Key Responsibilities: Technical Skills: -Minimum of 6 years of experience in Salesforce technical delivery or architecture roles. -At least 2 years of hands-on experience with Salesforce Data Cloud (CDP) implementation or integration projects. -Proven experience in multi-cloud Salesforce environments and large-scale data integration programs. -Deep knowledge of Salesforce Data Cloud architecture, including ingestion models, data mapping, identity resolution, segmentation, and activation. -Strong proficiency in Salesforce APIs, Mulesoft, ETL, data modeling, and SQL. -Experience designing multi-cloud and hybrid data architectures integrating Sales, Service, Marketing, and external systems. -Understanding of event-based data ingestion, real-time streaming, and data privacy frameworks. -Ability to translate complex data and architecture concepts into clear business value. Problem-Solving: -Strong analytical and problem-solving skills. Communication: -Excellent communication skills to collaborate with cross-functional teams. -Support and interact with diverse teams across multiple locations and time zones. - Interact with a cross-functional team to solve problems and gather requirements. - Should be able to track incidents, service requests, change requests to make sure SLAs are met. Horário de Trabalho 100% Remote - Shift hours - Support PST hours (13hrs às 22hrs Horário Brasil) Informações Adicionais 100% Remoto - Horário: 13hrs às 22hrs Horário Brasil Prazo: 11/2025 a 11/2026 Idioma: Inglês avançado