
Chief Enterprise Data Architect
19 hours ago
Salesforce Data Cloud Architect
Job DescriptionThe company is seeking a skilled Salesforce Data Cloud Lead to spearhead transformative data-first initiatives at an enterprise scale. This role requires deep knowledge of Salesforce Data Cloud, along with proven leadership skills to guide technical teams and design scalable architectures.
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.
- 10+ 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
- Opportunity to work remotely with global teams.
- Exposure to cutting-edge AI and Data Cloud capabilities.
- Competitive compensation and growth opportunities.
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