Salesforce Data Cloud Developer
- Toronto, ON, Canada
$55 to $57 CAD / hour · Contract
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Job details
- Pay
- $55 to $57 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Immediate need for a talented Salesforce Data Cloud Developer . This is a 12 Months Contract opportunity with long-term potential and is located in Toronto, ON (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:26-30547
Pay Range: $55 - $57/hour.
Key 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.
Key Requirements and Technology Experience:
- Must have skills: - Salesforce Data Cloud, Customer 360
Our client is a leading IT Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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More about this job
Responsibilities
Design, configure, and optimize Salesforce Data Cloud solutions, including data streams, data objects, identity resolution, ingestion pipelines, integrations, transformations, insights, and audience segmentation. Collaborate with business and technical stakeholders to support Customer 360 initiatives, testing, deployments, operational documentation, data governance, and ongoing platform performance.
Requirements
The posting requires expertise in Salesforce Data Cloud and Customer 360, with experience in Data Cloud architecture, data modeling, identity resolution, data ingestion, integrations, and customer segmentation. It also calls for collaboration across business and technical teams and support for testing, deployment, environment management, and data quality and security.
Skills
- Salesforce Data Cloud
- Customer 360
- Data Cloud Architecture
- Data Modeling
- Identity Resolution
- Data Ingestion
- API Integrations
- MuleSoft
- Data Transformations
- Calculated Insights
- Data Graphs
- Audience Segmentation
- Customer Journeys
- Data Governance
- Data Quality
- Salesforce Platform
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Consulting
Keywords
- Salesforce Data Cloud
- Customer 360
- Data Cloud Architecture
- Data Modeling
- Identity Resolution
- Data Streams
- Data Lake Objects
- Data Model Objects
- Data Ingestion
- APIs
- MuleSoft
- Data Transformations
- Calculated Insights
- Data Graphs
- Audience Segmentation
- Customer Journeys
- Data Cloud Environments
- Sandboxes
- Permission Sets
- Data Kits
- SIT
- UAT
- Deployment
- Automated Jobs
- Data Refresh Schedules
- Extraction Pipelines
- Data Quality
- Data Governance
- Data Security
- Data Performance