Salesforce Data Cloud Architect About the Role We are looking for a Salesforce Data Cloud Architect (Data 360) with strong expertise across both the legacy Salesforce CDP (Customer Data Platform / Genie) and the current Salesforce Data Cloud ecosystem. The candidate should have deep technical knowledge of Data Cloud architecture SQL Einstein Prediction AI external data integrations and Salesforce Marketing Cloud to support enterprise-scale data-driven use cases.
Key Responsibilities Salesforce Data Cloud (Old & New Ecosystem) Design and implement solutions using Salesforce Data Cloud (formerly CDP / Genie) Work extensively with Data Streams Data Lake Objects (DLOs) Unified Profiles Calculated Insights and Identity Resolution Manage ingestion of structured and semi-structured data from Salesforce and external platforms Optimize data models and performance across both legacy CDP concepts and modern Data Cloud capabilities
Einstein AI & Predictive Capabilities Implement Einstein Prediction Builder / Einstein AI using Data Cloud unified data Build and deploy predictive models such as propensity scoring churn prediction and segmentation intelligence Enable AI-driven insights and personalization use cases leveraging Data Cloud
SQL & Data Engineering Strong hands-on experience with SQL for Calculated Insights Data transformation and validation Performance optimization Solid understanding of analytical and relational data modelling
Integrations Design and implement integrations between Salesforce Data Cloud and: External data platforms (Snowflake BigQuery AWS Azure etc.) Third-party systems using APIs and connectors Experience with middleware tools (MuleSoft preferred) Ensure secure scalable and reliable data flows
Required Qualifications Bachelors degree in Computer Science IT Engineering or equivalent experience 6 years of experience in the Salesforce ecosystem 3 years hands-on experience with Salesforce Data Cloud (formerly CDP / Genie / Customer 360 / Data 360) Strong expertise in Data Cloud architecture Agentforce Marketing Cloud SQL and Einstein Prediction AI Experience with external data integrations and Salesforce Marketing Cloud activation Preferred Qualifications Salesforce certifications in Data Cloud AI /Data 360 Agentforce Advanced Admin Marketing Cloud is a nice addition Good working knowledge of Salesforce and Marketing Cloud Tableau Next Salesforce Service Cloud Salesforce Service Cloud Agentforce Experience with cloud data platforms (Snowflake BigQuery AWS Azure) Knowledge of MuleSoft or similar integration tools Understanding of data privacy consent management and governance Experience with real-time personalization and cross-cloud activation Soft Skills Strong communication and stakeholder management abilities. Strategic thinker with problem-solving and analytical mindset. Ability to mentor junior engineers and contribute to team development. Proven experience in leading cross-functional
| Required Experience:
Staff IC
Salesforce Data Cloud ArchitectAbout the RoleWe are looking for a Salesforce Data Cloud Architect (Data 360) with strong expertise across both the legacy Salesforce CDP (Customer Data Platform / Genie) and the current Salesforce Data Cloud ecosystem. The candidate should have deep technical knowledg...
Salesforce Data Cloud Architect About the Role We are looking for a Salesforce Data Cloud Architect (Data 360) with strong expertise across both the legacy Salesforce CDP (Customer Data Platform / Genie) and the current Salesforce Data Cloud ecosystem. The candidate should have deep technical knowledge of Data Cloud architecture SQL Einstein Prediction AI external data integrations and Salesforce Marketing Cloud to support enterprise-scale data-driven use cases.
Key Responsibilities Salesforce Data Cloud (Old & New Ecosystem) Design and implement solutions using Salesforce Data Cloud (formerly CDP / Genie) Work extensively with Data Streams Data Lake Objects (DLOs) Unified Profiles Calculated Insights and Identity Resolution Manage ingestion of structured and semi-structured data from Salesforce and external platforms Optimize data models and performance across both legacy CDP concepts and modern Data Cloud capabilities
Einstein AI & Predictive Capabilities Implement Einstein Prediction Builder / Einstein AI using Data Cloud unified data Build and deploy predictive models such as propensity scoring churn prediction and segmentation intelligence Enable AI-driven insights and personalization use cases leveraging Data Cloud
SQL & Data Engineering Strong hands-on experience with SQL for Calculated Insights Data transformation and validation Performance optimization Solid understanding of analytical and relational data modelling
Integrations Design and implement integrations between Salesforce Data Cloud and: External data platforms (Snowflake BigQuery AWS Azure etc.) Third-party systems using APIs and connectors Experience with middleware tools (MuleSoft preferred) Ensure secure scalable and reliable data flows
Required Qualifications Bachelors degree in Computer Science IT Engineering or equivalent experience 6 years of experience in the Salesforce ecosystem 3 years hands-on experience with Salesforce Data Cloud (formerly CDP / Genie / Customer 360 / Data 360) Strong expertise in Data Cloud architecture Agentforce Marketing Cloud SQL and Einstein Prediction AI Experience with external data integrations and Salesforce Marketing Cloud activation Preferred Qualifications Salesforce certifications in Data Cloud AI /Data 360 Agentforce Advanced Admin Marketing Cloud is a nice addition Good working knowledge of Salesforce and Marketing Cloud Tableau Next Salesforce Service Cloud Salesforce Service Cloud Agentforce Experience with cloud data platforms (Snowflake BigQuery AWS Azure) Knowledge of MuleSoft or similar integration tools Understanding of data privacy consent management and governance Experience with real-time personalization and cross-cloud activation Soft Skills Strong communication and stakeholder management abilities. Strategic thinker with problem-solving and analytical mindset. Ability to mentor junior engineers and contribute to team development. Proven experience in leading cross-functional
| Required Experience:
Staff IC
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