Salesforce Data Cloud Developer
- Toronto, ON, Canada
Contract
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- Contract
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- Posting language
- English
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Original job description
Role: Salesforce Data Cloud Developer
Location: Toronto, ON (3 days Onsite)
Duration: Contract
Skills required
- Salesforce Data Cloud Architecture & Development
- Data Integration, Ingestion & Transformation (APIs/MuleSoft Connectivity)
- Data Modeling, Identity Resolution & Customer Segmentation
- 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 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.
Thank you
Praveen
praveen.s@themesoft.com
More about this job
Responsibilities
Design, implement, and optimize Salesforce Data Cloud solutions, including data ingestion and integration pipelines, data models, identity resolution, transformations, and audience segmentation. Manage Data Cloud environments and customer journeys, support testing and deployments, maintain operational documentation, and ensure data quality, governance, security, and performance.
Requirements
The role seeks an experienced Salesforce Data Cloud developer with expertise in Data Cloud architecture, data modeling, identity resolution, data ingestion, integrations, and customer segmentation. Candidates should be able to collaborate with business and technical stakeholders and support enterprise-scale Customer 360 solutions, testing, deployment, and production validation.
Skills
- Salesforce Data Cloud Architecture
- Data Integration
- Data Ingestion
- Data Transformation
- APIs
- MuleSoft Connectivity
- Data Modeling
- Identity Resolution
- Customer Segmentation
- Data Streams
- Data Lake Objects
- Data Model Objects
- Calculated Insights
- Data Graphs
- Customer Journeys
Visa sponsorship
Not detected in the job text
Hiring contact
Praveen
Hiring contact email
praveen.s@themesoft.com
Categories
- Technology
- Data & Analytics
- Software
Keywords
- Salesforce Data Cloud
- Customer 360
- Data Cloud Architecture
- Data Streams
- Data Lake Objects
- Data Model Objects
- Identity Resolution
- Data Ingestion
- Data Integration
- APIs
- MuleSoft
- Data Modeling
- Data Transformation
- Calculated Insights
- Data Graphs
- Audience Segmentation
- Customer Journeys
- Sandboxes
- Permission Sets
- Data Kits
- SIT
- UAT
- Deployment Runbooks
- Data Quality
- Data Governance
- Data Security
- Performance Optimization
- Automated Jobs
- Data Refresh Schedules
- Extraction Pipelines