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Salesforce Data Cloud Developer

  • Toronto, ON, Canada

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Original job description

Role: Salesforce Data Cloud Developer

Location: Toronto, ON (Hybrid- 3 days onsite)

Top 3 skills required for this role:

  • Salesforce Data Cloud Architecture & Development
  • Data Integration, Ingestion & Transformation (APIs/MuleSoft Connectivity)
  • Data Modeling, Identity Resolution & Customer Segmentation

Job Description/ Responsibilities:

We are seeking an experienced Salesforce Data Cloud Developer to design, implement, and optimize enterprise-scale customer data solutions using Salesforce Data Cloud. The ideal candidate will have strong expertise in Data Cloud architecture, data modeling, identity resolution, data ingestion, integrations, and customer segmentation. This role involves collaborating with Product Owners, Business Analysts, and technical teams to deliver scalable customer data platforms that support Customer 360 initiatives and business outcomes.

  • Design and implement Salesforce Data Cloud solutions aligned with business and technical requirements.
  • Configure and manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution processes.
  • Build and maintain data ingestion pipelines and integrations using APIs and MuleSoft connectivity where required.
  • Design and implement data transformations, calculated insights, data graphs, and audience segmentation strategies.
  • Develop and manage customer journeys leveraging Salesforce Data Cloud capabilities.
  • Collaborate with Business Analysts, Product Owners, and stakeholders to translate business requirements into scalable Data Cloud solutions.
  • Configure and manage Data Cloud environments, including sandboxes, permission sets, and Data Kits.
  • Support SIT, UAT, deployment activities, and post-production validation.
  • Create, maintain, and review deployment runbooks, operational procedures, and support documentation.
  • Configure and monitor automated jobs, data refresh schedules, and extraction pipelines.
  • Ensure data quality, governance, security, and performance across the Data Cloud ecosystem.
  • Partner effectively with cross-functional teams to troubleshoot issues and deliver solutions within project timelines.
  • Support integration of Salesforce Data Cloud with Customer 360 and related Salesforce platform components.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf

More about this job

Responsibilities

Design, implement, and optimize Salesforce Data Cloud solutions, including data models, ingestion pipelines, integrations, identity resolution, transformations, and customer segmentation. Collaborate with business and technical stakeholders to support Customer 360 initiatives, manage environments and deployments, and ensure data quality, security, and performance.

Requirements

The role calls for strong expertise in Salesforce Data Cloud architecture and development, data modeling, identity resolution, data ingestion, integrations, and customer segmentation. Candidates should be able to work across business and technical teams and support testing, deployment, operational documentation, and production validation.

Skills

  • Salesforce Data Cloud Architecture
  • Data Integration
  • Data Ingestion
  • Data Transformation
  • API Integration
  • MuleSoft
  • Data Modeling
  • Identity Resolution
  • Customer Segmentation
  • Data Streams
  • Data Lake Objects
  • Data Model Objects
  • Calculated Insights
  • Data Governance
  • Customer 360

Visa sponsorship

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Categories

  • Technology
  • Software
  • Data & Analytics

Keywords

  • Salesforce Data Cloud
  • Data Cloud Architecture
  • Data Streams
  • Data Lake Objects
  • Data Model Objects
  • Identity Resolution
  • Data Ingestion
  • Data Integration
  • APIs
  • MuleSoft
  • Data Transformation
  • Calculated Insights
  • Data Graphs
  • Audience Segmentation
  • Customer Journeys
  • Customer 360
  • Data Modeling
  • Data Quality
  • Data Governance
  • Data Security
  • Data Performance
  • Sandboxes
  • Permission Sets
  • Data Kits
  • SIT
  • UAT
  • Deployment Runbooks
  • Automated Jobs
  • Data Refresh Schedules
  • Extraction Pipelines

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