Job Title: Salesforce Data Cloud Architect

Experience:
8+ Years Work

Location:
Remote Shift Timings: 2:00 PM – 10:00 PM IST Job Summary We are seeking an experienced Salesforce Data Cloud Architect to lead the architecture, design, implementation, and optimization of enterprise-scale customer data platforms using Salesforce Data Cloud. The ideal candidate will have strong expertise in customer data management, identity resolution, data modeling, real-time integrations, and AI-powered customer engagement. The role involves building scalable and secure data architectures, enabling unified customer profiles, and driving Customer 360 initiatives across the Salesforce ecosystem. You will collaborate with business stakeholders, enterprise architects, solution architects, and delivery teams to deliver high-performing data solutions that support advanced analytics, audience segmentation, activation, and AI-driven insights.

Key Responsibilities
1. Architecture and Solution Design
• Lead end-to-end architecture and implementation of Salesforce Data Cloud solutions.
• Design scalable customer data platforms capable of processing high-volume enterprise data.
• Define Customer 360 strategies across Data Cloud, Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, and Agentforce.
• Establish best practices for data ingestion, harmonization, identity resolution, segmentation, and activation.
• Design real-time and batch data integration architectures. 2. Data Modeling and Management
• Design and optimize Data Cloud data models, including Data Lake Objects (DLOs), Data Model Objects (DMOs), and Calculated Insights Objects (CIOs), where applicable.
• Build and optimize unified customer profiles.
• Configure identity resolution rules, matching criteria, and reconciliation strategies.
• Establish data governance, quality, stewardship, and consent management frameworks. 3.



Integration and Connectivity
• Architect integrations across Salesforce Clouds, Marketing Cloud Engagement, MuleSoft, Snowflake, Databricks, AWS, Azure, and Google Cloud Platform.
• Design API-based, event-driven, and streaming integration solutions.
• Implement data ingestion through connectors, APIs, batch processing, and streaming sources.
• Integrate enterprise ERP, CRM, and external data platforms. 4. AI and Analytics Enablement
• Enable AI-driven customer engagement and analytics use cases through Salesforce Data Cloud.
• Design solutions supporting Einstein AI, Agentforce, predictive analytics, Next Best Action, and customer insights.
• Enable audience activation across Salesforce applications and external platforms.
• Support data-driven personalization and customer engagement strategies. 5. Technical Leadership and Governance
• Lead architectural reviews, technical assessments, and implementation governance.
• Define reusable frameworks, technical standards, and architectural best practices.
• Mentor developers, technical leads, and solution architects.
• Participate in client workshops, requirement discovery, solution estimation, roadmap planning, and pre-sales activities.
• Present architecture recommendations and technical solutions to senior stakeholders. 6. Security and Compliance
• Design enterprise-grade security and data-sharing architectures.
• Implement role-based access controls and data protection measures.




• Ensure alignment with applicable privacy and compliance requirements, including GDPR, CCPA, and HIPAA where applicable. Required Technical Skills
• Salesforce Data Cloud
• Hands-on implementation and architecture experience with Salesforce Data Cloud.
• Data Streams, DLOs, DMOs, identity resolution, Calculated Insights, segmentation, activation, and Data Actions.
• Unified Customer Profiles and Customer 360 architecture.
• Salesforce Platform Architecture and Salesforce ecosystem integrations.
• Data Engineering and Integration
• Solid SQL, data modeling, data warehousing, and big data fundamentals.
• ETL/ELT processes and data ingestion frameworks.
• REST/SOAP APIs, event-driven architecture, and streaming solutions.
• Experience with MuleSoft, Snowflake, Databricks, AWS, Azure, and/or Kafka.
• Architecture and Cloud
• Enterprise Architecture, Solution Architecture, Integration Architecture, and Data Architecture.
• Cloud-native solution design, scalability, performance optimization, and system interoperability.
• Business and Consulting Skills
• Strong stakeholder management and client consulting capabilities.
• Experience conducting requirement discovery workshops and solution assessments.
• Solution estimation, pre-sales support, and executive presentations.
• Excellent communication, analytical, and problem-solving skills. Preferred Certifications
• Salesforce Certified Data Cloud Consultant.
• Salesforce Certified System Architect.
• Salesforce Certified Application Architect.
• Salesforce Certified Integration Architect.
• Salesforce Certified AI Associate.
• Salesforce Certified Agentforce Specialist.
• MuleSoft Certified Architect.
• TOGAF Certification. Work Details
• Experience Required: 8+ Years.
• Work Mode: Remote.
• Shift: 2:00 PM – 10:00 PM IST.

📌 Data Cloud Architect | 8+ Years | Remote (India)
🏢 Haparz
📍 India