Sales Force Data Cloud Engineer

Role & responsibilities

• Configure Data Cloud data streams and map source data to DMOs.
• Build and optimize identity-resolution rulesets.
• Create unified customer profiles and calculated insights.
• Develop and test audience segments.
• Activate audiences into Marketing Cloud and other destinations.
• Configure downstream Marketing Cloud Data Extensions.
• Perform end-to-end audience validation and reconciliation.
• Troubleshoot activation failures and identity/data mismatches.
• Translate business requirements into audience and exclusion logic.
• Document segmentation and activation configurations.
• Collaborate with Marketing Cloud journey teams to ensure activation readiness.

Preferred candidate profile

We are looking for a hands-on Salesforce Data Cloud Engineer with approximately 56 years of overall Salesforce/data engineering experience and at least 3 years of practical Salesforce Data Cloud (Data 360) implementation experience.

Mandatory Technical Experience

The candidate should have strong hands-on experience in:

• Salesforce Data Cloud / Data 360
• Data Streams and data ingestion
• Data Cloud data modeling and DMOs
• Identity Resolution and Rulesets
• Unified Individual/Customer Profiles
• Calculated Insights
• Computed Traits / Derived Attributes
• Segmentation Canvas and audience creation
• Data Cloud Activations
• Salesforce Marketing Cloud Engagement
• Marketing Cloud Data Extensions
• Subscriber Keys / Customer Identifiers
• SQL for data validation and audience logic
• End-to-end Data Cloud Marketing Cloud activation
• Data quality and reconciliation
• Consent and data governance

Cloud/Data Platform Experience

Candidates with experience integrating Data Cloud with one or more of the following are preferred:

• Snowflake
• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)
• Zero-copy data sharing

Salesforce Marketing Cloud Knowledge

The candidate should understand how activated Data Cloud audiences are consumed within Marketing Cloud Engagement, including:

• Data Extensions
• Subscriber/Contact identification
• Audience activation
• Data synchronization
• Journey audience requirements
• Activation troubleshooting