Engineer

Support the implementation of Salesforce Data Cloud (Data 360) solutions by developing, configuring, testing, and deploying data ingestion, harmonization, identity resolution, and customer data management components across CRM and Marketing Automation Platform sources. Responsibilities Build, configure, unit-test, document and remediate ingestion, harmonisation, identity, consent, DQ controls, mappings and operational components. Build CRM ingestion streams, mappings & DQ controls per wave. Configure Eloqua & six BU Pardot extractions; run production loads. Configure data streams, DLO→DMO mappings, transforms & identity rulesets; unit testing, defect fixing and deployment across environments. Build calculated insights & segments; configure connectors/APIs; job scheduling & monitoring; technical documentation & knowledge transfer. Required Skills Salesforce Data Cloud (Data 360) Salesforce CRM Data Streams Data Lake Objects (DLO) Data Model Objects (DMO) Data Integration Customer Data Management Identity Resolution Data Harmonisation Consent Management Data Quality Controls API Integration Calculated Insights Segmentation SQL Unit Testing Technical Documentation Preferred Experience Experience implementing Salesforce Data Cloud solutions. Experience with CRM and Marketing Automation Platform integrations. Strong understanding of customer data onboarding, transformation, and unification. Experience working with Data Lake Objects, Data Model Objects, and identity resolution frameworks. Experience supporting production deployments and operational monitoring activities. Educational Qualification Bachelors Degree in Computer Science, Information Technology, Engineering, Data Scie