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Themesoft Inc.

Salesforce Data Cloud Developer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Position: Salesforce Data Cloud Developer

Location: Toronto, On

Skills:

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

Job Summary:

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.

Job Description:

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.

Regards

Patrick Fernandez

Talent Acquisition Group - Strategic Recruitment Manager

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More about this job

Responsibilities

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

Requirements

The role calls for strong expertise in Salesforce Data Cloud architecture and development, including data modeling, identity resolution, data ingestion, integrations, and customer segmentation. It also requires the ability to collaborate across teams and support testing, deployment, documentation, and production validation.

Skills

Salesforce Data Cloud Architecture
Data Integration
Data Ingestion
Data Transformation
API Integration
MuleSoft
Data Modeling
Identity Resolution
Customer Segmentation
Calculated Insights
Data Graphs
Customer Journeys
Data Quality
Data Governance
Data Security

Visa sponsorship

Not detected in the job text

Hiring contact

Patrick Fernandez

Keywords

Salesforce Data Cloud
Customer 360
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
Sandboxes
Permission Sets
Data Kits
SIT
UAT
Deployment Runbooks
Automated Jobs
Data Refresh Schedules
Extraction Pipelines
Data Quality
Data Governance
Data Security
Performance Optimization

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