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Salesforce Data Cloud Developer
- Toronto, ON, Canada
Contract
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- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Title : Salesforce Data Cloud Developer
Location : 160 Front St W, Toronto, ON M5J 0G4, Canada
Duration : 12+ Months
Rate : OPEN
Visa Status : Any
In-Person Interview : No
Relevant Experience (in Yrs.) : 5+
Detailed Job Description:
- 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.
- onfigure 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.
Thanks, and Regards
Prasanna Kumar
Senior Talent Acquisition Lead
Ascii Group LLC
Email: prasanna.bommu@asciigroup.com
Phone: +1 313-435-0820/(248) 476-7600 Ext 112
More about this job
Responsibilities
Design, implement, and optimize Salesforce Data Cloud solutions, including data streams, data models, identity resolution, ingestion pipelines, integrations, transformations, insights, and audience segmentation. Collaborate with business and technical stakeholders to support Customer 360 initiatives, testing, deployment, operational documentation, data governance, and production validation.
Requirements
The role requires 5+ years of relevant experience and strong expertise in Salesforce Data Cloud architecture, data modeling, identity resolution, data ingestion, integrations, and customer segmentation. Candidates should be able to work with APIs and MuleSoft, manage Data Cloud environments and deployment activities, and collaborate with cross-functional teams.
Skills
- Salesforce Data Cloud
- Data Cloud Architecture
- Data Modeling
- Identity Resolution
- Data Ingestion
- API Integrations
- MuleSoft
- Data Transformations
- Calculated Insights
- Audience Segmentation
- Customer Journeys
- Data Governance
- Data Quality
- Salesforce Customer 360
- Deployment Support
- Data Pipeline Monitoring
Visa sponsorship
Not detected in the job text
Hiring contact
Prasanna Kumar
Hiring contact email
prasanna.bommu@asciigroup.com
Categories
- Technology
- Software
- Data & Analytics
Keywords
- Salesforce Data Cloud
- Customer 360
- Data Streams
- Data Lake Objects
- Data Model Objects
- Identity Resolution
- Data Ingestion
- Data Pipelines
- APIs
- MuleSoft
- Data Transformations
- Calculated Insights
- Data Graphs
- Audience Segmentation
- Customer Journeys
- Data Cloud Environments
- Sandboxes
- Permission Sets
- Data Kits
- SIT
- UAT
- Deployment Runbooks
- Automated Jobs
- Data Refresh Schedules
- Extraction Pipelines
- Data Quality
- Data Governance
- Data Security
- Performance Optimization