Salesforce Data Cloud Architect

Position Title: Salesforce Data Cloud Architect

Location: Rosemont, IL (Onsite)

Role Type: Contract

Implementation Partner: HCL America

Visa s: USC/TN/E3

Mandatory Skills:

Salesforce Data Cloud, marketing Cloud, Architecture

Job Description:

• Required minimum of 10+ years of experience in Salesforce Data Cloud and Salesforce Marketing Cloud to Collaborate with clients to understand their business objectives and requirements, and design solutions to meet the needs
• Architect and design robust and scalable Salesforce Data Cloud solutions based on client requirements and industry best practices.
• Work with practitioners on Salesforce Marketing Cloud and help build marketing capabilities and assets using data cloud.
• Understand functional requirements and should be able to develop technical design using standard patterns and be able to communicate the same effectively to the team members.
• Define and implement data modelling, schema design, and data governance strategies within the Salesforce Data Cloud.
• Implement seamless integrations between Salesforce Data Cloud and third-party systems, such as marketing automation, analytics, and Salesforce CRM
• Collaborate with cross-functional teams to align technical solutions with business objectives.
• Salesforce certifications in Salesforce DataCloud/CDP

Roles and Responsibilities:

• Design and implement scalable data models, build ERD diagrams
• Build/configure ingestion, data modeling, segmentation, and activation within Salesforce Data Cloud and understand the various cloud platforms that Salesforce data cloud can integrate specifically with Marketing cloud.
• Design and implement Data 360 data models, including Data Streams, Data Bundles, Data Lake Objects (DLOs), and Data Model Objects (DMOs).
• Build and maintain data transformations, including Data Mapper recipes, identity resolution rules, and calculated insights.
• Build and maintain data transformations, including Data Mapper recipes, identity resolution rules, and calculated insights.
• Create scalable segmentation, activation, and unification pipelines to support personalization and analytics use cases.
• Optimize data ingestion performance with monitoring, validation, and exception handling processes.
• Implement real-time and batch data synchronization across enterprise systems and Salesforce clouds.
• Establish best practices for Data Cloud usage, performance tuning, monitoring, and lifecycle management.