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Salesforce Data Cloud Architect

TechDigital

Rosemont, IL

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JOB DETAILS
SKILLS
Best Practices, Cloud Architecture, Cloud Computing, Communication Skills, Cross-Functional, Customer Relationship Management (CRM), Data Lake, Data Modeling, Database Design, Entity Relationship Diagram (ERD), Error Handling, Marketing, Marketing Automation Software, Object Modeling, Performance Analysis, Performance Tuning/Optimization, Salesforce.com, Technical/Engineering Design, Use Cases
LOCATION
Rosemont, IL
POSTED
30+ days ago
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.

About the Company

T

TechDigital

COMPANY SIZE
100 to 499 employees
INDUSTRY
Other/Not Classified

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