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THEMESOFTVerified Job Source

Salesforce Data 360 Developer

Role: Salesforce Data 360 Developer Location: Canada – Remote Responsibilities: Design, develop, and maintain scalable batch and real-time data pipelines for Salesforce Data Cloud (Data360/CDP). Build integrations between enterprise source systems, cloud data platforms (GCP/Data Lake), and marketing activation platforms such as Salesforce Marketing Cloud (SFMC). Implement customer data models, identity resolution, unified customer profiles, and calculated insights. Develop audience segmentation logic and activation-ready datasets for personalized marketing campaigns. Enable seamless data act…

  • Remote
  • ["Canada"]
  • Posted Jul 17, 2026
  • 1 position

Job summary

Role: Salesforce Data 360 Developer Location: Canada – Remote Responsibilities: Design, develop, and maintain scalable batch and real-time data pipelines for Salesforce Data Cloud (Data360/CDP). Build integrations between enterprise source systems, cloud data platforms (GCP/Data Lake), and marketing activation platforms such as Salesforce Marketing Cloud (SFMC). Implement customer data models, identity resolution, unified customer profiles, and calculated insights. Develop audience segmentation logic and activation-ready datasets for personalized marketing campaigns. Enable seamless data activation by building pipelines for Data360 to SFMC, including audience synchronization, event-driven triggers, and journey orchestration. Develop and optimize SQL queries for data transformation, validation, reconciliation, and performance tuning. Monitor, troubleshoot, and resolve data quality issues across multiple enterprise systems. Collaborate with Product Owners, Data Engineers, Marketing Operations, and API Integration teams to deliver scalable customer data solutions. Ensure high standards of data governance, privacy, consent management, and documentation. Support testing, deployment, and continuous improvement of customer data platform solutions. Required Skills : 6+ years of experience in Data Engineering, Customer Data Platforms (CDP), or Enterprise Data Integration. Hands-on experience with Salesforce Data Cloud (Data360) or similar Customer Data Platforms. Strong expertise in SQL, data transformation, ETL/ELT development, and large-scale data processing. Experience designing customer data models, identity resolution, unified profiles, and audience segmentation. Strong understanding of batch and real-time data processing architectures. Experience building REST API integrations and connecting enterprise applications with marketing platforms. Knowledge of cloud data platforms, preferably Google Cloud Platform (GCP). Experience with enterprise-scale data pipelines and data quality validation. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and cross-functional collaboration skills. Salesforce Data Cloud (Data360) Consultant Certification or equivalent practical experience is highly preferred. Preferred Skills Experience with Salesforce Marketing Cloud (SFMC). Knowledge of customer journey orchestration and audience activation. Familiarity with event-driven architectures and real-time customer engagement. Understanding of customer consent management, data privacy, and governance. Salesforce Marketing Cloud Engagement Developer, Administrator, or Consultant Certification. Experience working in Agile/Scrum environments Regards, Praveen Kumar R (Praveen) Talent Acquisition Group – Strategic Recruitment Manager [email protected]| Themesoft Inc

What you’ll do

The Salesforce Data 360 Developer is responsible for designing, developing, and maintaining data pipelines for Salesforce Data Cloud. They will also build integrations with various platforms and ensure data quality and governance.

Requirements

Candidates should have over 6 years of experience in Data Engineering and hands-on experience with Salesforce Data Cloud or similar platforms. Strong SQL skills and experience with data transformation and audience segmentation are also required.

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Salesforce Data Cloud
  • Data Engineering
  • Customer Data Platforms
  • SQL
  • ETL
  • Data Processing
  • Identity Resolution
  • Audience Segmentation
  • REST API
  • Google Cloud Platform
  • Data Quality
  • Analytical Skills
  • Troubleshooting
  • Problem Solving
  • Communication
  • Collaboration

Additional details

Minimum experience
5+ years