Sales Force Data Cloud Engineer

Ktek Talent Solutions; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Ktek Talent Solutions is seeking a hands-on Salesforce Data Cloud Engineer to lead data cloud activations and audience strategies. The role emphasizes building data streams, identity resolution, and unified customer profiles within Marketing Cloud.

The ideal candidate will have 3+ years of Data Cloud implementation experience, strong SQL skills, and experience integrating Cloud data with Marketing Cloud Engagement and Data Extensions.

Qualifications

• Hands-on Salesforce Data Cloud / Data 360 experience.
• Experience with data streams and ingestion.
• DMOs data modeling and consent governance.
• Identity resolution and rulesets.
• Unified customer profiles and calculated insights.
• SQL for data validation and audience logic.

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.

Skills

Salesforce Data Cloud

Data Cloud Eng

Identity Resolution

SQL querying

Data Modeling

Audience Segmentation

Data Quality

Governance

Tools

Snowflake

AWS

Azure

GCP

Job description

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 ProfilesCalculated 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