Design and implement Salesforce Data Cloud (Data 360) solutions to unify customer data across multiple sources and enable real-time insights, segmentation, and activation across Sales, Service, and Marketing Clouds.

Primary Responsibilities

• Design Data Lake Objects (DLOs) and Data Model Objects (DMOs) in Salesforce Data Cloud.
• Build and manage data streams and ingestion pipelines from sources such as AWS, Azure, APIs, MuleSoft, and Salesforce Clouds.
• Configure identity resolution rules to create a unified 360° customer profile.
• Develop audience segmentation and activation strategies for personalized marketing and service use cases.
• Ensure data governance, quality, and compliance (e.g., HIPAA).
• Lead Data Cloud implementations and provide technical guidance to stakeholders.

Required Skills & Qualifications

• Proven experience with Salesforce Data Cloud (Data 360) or other Customer Data Platforms (CDP).
• Hands-on experience implementing customer data unification and identity resolution.
• Strong understanding of ETL/ELT processes, data pipelines, and data integration.
• Proficiency in SQL, data modeling, and data mapping.
• Experience working with APIs and integration tools such as MuleSoft.
• Strong knowledge of Salesforce Sales Cloud, Service Cloud, and Marketing Cloud architecture.
• Experience implementing data-driven marketing and personalization solutions.
• Ability to analyze complex datasets and translate them into actionable business insights.
• Strong problem-solving and stakeholder communication skills.

Preferred Qualifications

• Experience implementing Customer Data Platforms (CDP) or enterprise data platforms.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with data governance frameworks and compliance standards.

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