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Job Title: Salesforce Data Cloud Consultant Location: Vancouver BC Canada  Role: FT We are seeking a skilled Salesforce Data Cloud Consultant with strong experience in Customer Data Platforms,... Voir plus
At Stantec, we have some of the world’s leading professionals passionate about enabling our business to be its best.Our business teams include finance, procurement, human resources, information tec... Voir plus
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System's client is looking for a.Senior SAP Developer to support and lead enterprise-wide SAP S/4HANA initiative.Vancouver open to Calgary or Toronto candidates willing to work PST timezone and tra... Voir plus
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Unser junges und dynamisches Team am Standort Downtown, Vancouver (Kanada) arbeitet mit modernen Tools und organisiert sich selbständig.Gesucht ist eine zielorientierte, selbständige, flexible Pers... Voir plus
Job Title: Salesforce Data Cloud Consultant Location: Vancouver BC Canada Role: FT We are seeking a skilled Salesforce Data Cloud Consultant with strong experience in Customer Data Platforms, segmentation, activation, customer analytics, and zero-copy data architecture.
The consultant will be responsible for designing and implementing Data Cloud / CDP solutions that unify customer data, enable customer 360 profiles, support advanced segmentation, and activate audiences across marketing, sales, service, and analytics channels.
The ideal candidate should have hands-on experience with CDP implementation, identity resolution, data modeling, SQL-based customer analytics, RFM analysis, Customer Lifetime Value, and zero-copy or zero-ETL integrations with cloud data platforms such as Snowflake, Databricks, BigQuery, or similar technologies.
This role requires strong consulting skills, the ability to work with business and technical stakeholders, and experience translating customer data use cases into scalable and measurable solutions.
Key responsibilities include: Design and implement Salesforce Data Cloud / CDP solutions Build customer 360 profiles and identity resolution logic Develop audience segmentation and activation strategies Implement RFM and CLV-based customer analytics Enable segment activation across marketing, CRM, advertising, and analytics platforms Design zero-copy / zero-ETL data integration patterns Work with cloud data warehouses and data lakes Ensure data governance, privacy, consent, and compliance requirements Create technical documentation, solution designs, and implementation roadmaps Support testing, deployment, training, and post-go-live optimization Required skills: Strong CDP / Data Cloud implementation experience Expertise in segmentation activation, RFM analysis, and CLV Experience with zero-copy or zero-ETL architecture Strong SQL and data modeling skills Experience with CRM, marketing automation, and analytics platforms Understanding of identity resolution, consent management, and customer data governance Strong communication and consulting skills Preferred integration experience: Strong experience in Salesforce Marketing Cloud and Salesforce Data Cloud Snowflake, Databricks, BigQuery, Redshift, or similar platforms Adobe Experience Platform, Segment, Tealium, or Treasure Data Tableau, Power BI, Looker, or similar BI tools Predictive analytics, churn modeling, propensity modeling, or personalization use cases Qualifications: Bachelor’s degree in computer science, Data Analytics, Information Systems, Marketing Technology, or a related field 5+ years of relevant experience in data, martech, CRM, analytics, or consulting 2+ years of hands-on CDP / Data Cloud experience Salesforce Relevant certifications are preferred Ideal candidate profile: The ideal candidate is a hands-on Salesforce Data Cloud / CDP consultant who understands both the technical and business aspects of customer data.
They should be able to design customer data models, build actionable segments, activate audiences across channels, and help organizations improve personalization, retention, conversion, and customer lifetime value while maintaining strong data governance and scalable architecture Powered by JazzHR
