Roles & Responsibilities
A Salesforce Data Cloud (Data 360) professional designs, implements, and manages unified customer data profiles by connecting disparate data sources into Salesforce. Responsibilities include building data streams, modeling data, implementing identity resolution, and enabling real-time, AI-driven segmentation and activation across Sales, Service, and Marketing Clouds.

Key Responsibilities
Data Architecture Modeling Design Data Lake Objects (DLOs) and Data Model Objects (DMOs) within Data Cloud.
Integration Ingestion Connect external data sources (AWS, Azure, APIs, MuleSoft) and Salesforce Clouds using connectors.
Identity Resolution Create rules to unify customer data into a single, comprehensive 360-degree view.
Segmentation Activation Develop actionable insights, segments, and activate data for personalized marketing and service use cases.
Data Governance Quality Ensure data accuracy, security, and compliance (e.g., HIPAA).
Technical Leadership Lead implementation, troubleshoot data flows, and guide stakeholders on best practices.

Required Skills Qualifications
Experience Proven experience with Salesforce Data Cloud, Data 360, or Customer Data Platforms (CDPs).
Technical Skills Strong understanding of ETLELT concepts, SQL, data modeling, APIs, and data mapping.
Salesforce Ecosystem Deep knowledge of Salesforce SalesServiceMarketing Cloud architecture.
Analytical Skills Ability to analyze complex data sets and translate them into business solutions.

Salesforce Data 360 Architect

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