Salesforce Customer Data Platform Engineer
Posted 2
views
Summary
On-site data engineer at AGF Management (Toronto) operating the enterprise customer data platform: unifying CRM, transaction, portfolio, and behavioural data via Salesforce Data360, identity resolution, and real-time ETL to enable segmentation, activation, analytics, and AI use cases.
Unify customer, portfolio, transaction, and behavioural data for AGF Management Limited using Salesforce Data360, identity resolution, and data engineering.
As a hands-on Data Engineer, you will operate the enterprise customer data platform and improve CRM data foundations. Your work connects multi-source data, creates trusted profiles, and enables segmentation, activation, analytics, and AI. You will collaborate with technical, business, analytics, and enterprise data teams.
Key Responsibilities:
Unify CRM, transaction, portfolio, behavioural, and enterprise data Configure and administer Data360 ingestion, identity resolution, and harmonization Translate analytics, engagement, reporting, and AI requirements into capabilities Enable Salesforce AI, Tableau Next, and other AI-powered use cases Improve legacy data structures, quality, performance, and integrations Requirements:
Experience ingesting multi-source data and building real-time ETL pipelines Understanding of customer data platforms, profiles, segmentation, and activation Salesforce Data360 or comparable platform exposure preferred Experience with relational modeling, security, administration, and configuration Strong documentation and clear explanation of architecture trade-offs Bring customer data platform, Salesforce, and AI learning capabilities to deliver trusted profiles and reusable data assets.
Unify CRM, transaction, portfolio, behavioural, and enterprise data Configure and administer Data360 ingestion, identity resolution, and harmonization Translate analytics, engagement, reporting, and AI requirements into capabilities Enable Salesforce AI, Tableau Next, and other AI-powered use cases Improve legacy data structures, quality, performance, and integrations Requirements:
Experience ingesting multi-source data and building real-time ETL pipelines Understanding of customer data platforms, profiles, segmentation, and activation Salesforce Data360 or comparable platform exposure preferred Experience with relational modeling, security, administration, and configuration Strong documentation and clear explanation of architecture trade-offs Bring customer data platform, Salesforce, and AI learning capabilities to deliver trusted profiles and reusable data assets.