Salesforce Data Cloud ArchitectRialtes • Mangalore, IN
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Salesforce Data Cloud Architect
Rialtes • Mangalore, IN
30+ days ago
Job description10+ years of Salesforce platform experience with at least 3+ years dedicated to Data Cloud / Customer Data Platform (CDP) . Proven expertise in Salesforce architecture, data integration, and enterprise solution design . Strong knowledge of ETL / ELT pipelines, APIs, connectors, and real-time streaming (Kafka, MuleSoft, Snowflake, Databricks, etc.) . Hands-on experience with data modeling, identity resolution, consent management, and profile unification . Deep understanding of data governance, compliance (GDPR, CCPA), and security best practices . Proficiency in SQL, data mapping, and data harmonization techniques. Experience integrating Salesforce Data Cloud with AI tools, Data Cloud + Marketing Cloud activation, and personalization journeys . Excellent leadership, communication, and stakeholder management skills. Salesforce certifications highly preferred : Salesforce Data Cloud Consultant Salesforce Application Architect / System Architect Salesforce Marketing Cloud Consultant Bachelor’s or Master’s degree in Computer Science, Data Management, or related field. Lead transformative data-first initiatives at enterprise scale. Opportunity to work remotely with global teams . Exposure to cutting-edge AI and Data Cloud capabilities . Competitive compensation, growth opportunities, and a collaborative culture.
Job Description : Salesforce Data Cloud Lead
Location : Remote (India)
Job Type : Freelance / Contract - 6 months
About the Role
We are looking for an experienced Salesforce Data Cloud Lead with 10+ years of hands-on Salesforce
expertise to spearhead our Data Cloud initiatives. This role requires deep knowledge of Salesforce Data Cloud (formerly Customer Data Platform) , along with proven leadership skills to guide technical teams, design scalable architectures, and enable enterprise-wide data-driven transformations.
As a Salesforce Data Cloud Lead, you will be responsible for driving strategy, implementation, and optimization of Salesforce Data Cloud capabilities to unlock customer insights, enable AI-driven personalization, and power intelligent engagement across the enterprise.
Key Responsibilities
- Lead end-to-end design, architecture, and implementation of Salesforce Data Cloud solutions.
- Define data models, ingestion strategies, identity resolution, harmonization, and activation of unified customer profiles.
- Collaborate with business stakeholders to translate business objectives into scalable Data Cloud solutions.
- Manage data governance, security, and compliance across multiple data sources.
- Integrate Salesforce Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, MuleSoft, Tableau, and external data platforms .
- Provide guidance on AI / ML use cases, Data Cloud + Agentforce / Data Cloud + Einstein GPT integrations .
- Mentor and lead a team of Salesforce professionals including admins, developers, and data engineers.
- Define best practices for data ingestion, APIs, connectors, and real-time streaming pipelines.
- Partner with enterprise architecture and data teams to align Data Cloud initiatives with overall data strategy.
- Ensure performance tuning, monitoring, and ongoing optimization of Data Cloud implementations.
- Stay current with Salesforce Data Cloud roadmap, releases, and new capabilities .
Required Skills & Experience
Education
Why Join Us
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