Salesforce Data Cloud Developer

Job summary

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

Job details

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. Hybrid 3 days Toronto CAD 70/HR 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. Salesforce Data Cloud Architecture & Development Data Integration, Ingestion & Transformation (APIs/MuleSoft Connectivity) Data Modeling, Identity Resolution & Customer Segmentation

What you’ll do

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

Requirements

The role seeks an experienced developer with strong expertise in Salesforce Data Cloud architecture, data modeling, identity resolution, data ingestion, integrations, and customer segmentation. Candidates should be able to translate business requirements into scalable solutions and support testing, deployment, and post-production operations.

Listed skills

• Salesforce · Preferred
• Customer · Preferred
• Integrations · Preferred
• Technical · Preferred
• Integration · Preferred
• Production · Preferred
• Teams · Preferred
• Development · Preferred
• Organization · Preferred
• Attention to detail · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Salesforce Data Cloud
• Data Cloud Architecture
• Data Modeling
• Identity Resolution
• Data Ingestion
• Data Integration
• APIs
• MuleSoft
• Data Transformation
• Calculated Insights
• Data Graphs
• Audience Segmentation
• Customer Journeys
• Customer 360
• Data Governance
• Data Quality

Job areas

• Technology
• Data & Analytics
• Software

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