Salesforce Data Cloud Engineer – Audience & Activation

Position Details
Role: Salesforce Data Cloud Engineer Experience: 4+ Years Engagement: Part-Time Contract Work Location: Remote
Role Overview
We are looking for a hands-on Salesforce Data Cloud (Data 360) Engineer who can own the upstream customer data pipeline, from data ingestion and identity resolution through audience segmentation and activation into Salesforce Marketing Cloud and other destinations.
The role requires strong practical experience configuring Data Cloud, building unified customer profiles, creating audiences, and managing the complete Data Cloud → Marketing Cloud activation process.
Key Responsibilities
Data Model & Identity
Configure data streams and map source data into Data Cloud Data Model Objects (DMOs).
Configure and optimize identity resolution rulesets.
Maintain unified profiles, calculated insights, and derived attributes.
Ensure customer data is accurately unified and usable for segmentation.
Segmentation & Activation
Build, test, and refine audience segments using Segmentation Canvas, calculated insights, and identity-resolved profiles.
Activate audiences into:
Salesforce Marketing Cloud
Sales Cloud
Loyalty Cloud
External destinations / paid media
Configure downstream Marketing Cloud Data Extensions to receive activated audiences.
Handoff & Data Quality
Own the end-to-end Data Cloud → Marketing Cloud handoff.
Validate audience and segment readiness before activation.
Monitor activation pipelines and troubleshoot:
Sync failures
Record-count discrepancies
Identity mismatches
Activation delays
Ensure consent, privacy, and data governance requirements are maintained.
Client & Team Collaboration
Translate business requirements into audience and segment definitions.
Define inclusion/exclusion logic and frequency rules.
Document segment logic and activation configurations.
Work closely with Marketing Cloud Journey Architects to ensure audiences are delivered in the required format.
Required Skills & Experience
4+ years of hands-on Salesforce Data Cloud / Data 360 experience.
Experience with real implementations covering ingestion through activation.
Strong experience with:
Data Streams
Data Model Objects (DMOs)
Data Model Mapping
Identity Resolution Rulesets
Calculated Insights
Computed Traits
Segmentation Canvas
Audience Activation
Proven experience activating audiences into Salesforce Marketing Cloud.
Working knowledge of Marketing Cloud Engagement data architecture, including:
Data Extensions
Subscriber Keys
Activated audience handling
Strong SQL skills for audience logic and data validation.
Experience with cloud data platforms such as Snowflake, AWS, Azure, or GCP.
Exposure to zero-copy data sharing.
Strong troubleshooting and data-quality mindset.
Ability to trace data from source → identity resolution → segmentation → activation.
Good written communication and documentation skills.
Preferred Certifications
Salesforce Data Cloud Consultant
Salesforce Marketing Cloud Administrator
Salesforce Marketing Cloud Email Specialist
Good to Have
Previous experience with another Customer Data Platform (CDP).
Experience working with customer data, audience activation, and marketing automation ecosystems.
Responsibilities
Data Model & Identity
* Configure data streams and map source data into Data Cloud Data Model Objects (DMOs).
* Configure and optimize identity resolution rulesets.
* Maintain unified profiles, calculated insights, and derived attributes.
* Ensure customer data is accurately unified and usable for segmentation.
Segmentation & Activation
* Build, test, and refine audience segments using Segmentation Canvas, calculated insights, and identity-resolved profiles.
* Activate audiences into:
* Salesforce Marketing Cloud
* Sales Cloud
* Loyalty Cloud
* External destinations / paid media
* Configure downstream Marketing Cloud Data Extensions to receive activated audiences.
Handoff & Data Quality
* Own the end-to-end **Data Cloud → Marketing Cloud handoff**.
* Validate audience and segment readiness before activation.
* Monitor activation pipelines and troubleshoot:
* Sync failures
* Record-count discrepancies
* Identity mismatches
* Activation delays
* Ensure consent, privacy, and data governance requirements are maintained.
Client & Team Collaboration
* Translate business requirements into audience and segment definitions.
* Define inclusion/exclusion logic and frequency rules.
* Document segment logic and activation configurations.
* Work closely with Marketing Cloud Journey Architects to ensure audiences are delivered in the required format.
Requirements
**Role:** Salesforce Data Cloud Engineer
**Experience:** 4+ Years
**Engagement:** Part-Time Contract
**Work Location:** Remote
Preferred Certifications
* Salesforce Data Cloud Consultant
* Salesforce Marketing Cloud Administrator
* Salesforce Marketing Cloud Email Specialist
Skills
**4+ years of hands-on Salesforce Data Cloud / Data 360 experience.*** Experience with real implementations covering ingestion through activation.* Strong experience with:* Data Streams* Data Model Objects (DMOs)* Data Model Mapping* Identity Resolution Rulesets* Calculated Insights* Computed Traits* Segmentation Canvas* Audience Activation* Proven experience activating audiences into **Salesforce Marketing Cloud**.* Working knowledge of **Marketing Cloud Engagement** data architecture, including:* Data Extensions* Subscriber Keys* Activated audience handling* Strong **SQL** skills for audience logic and data validation.* Experience with cloud data platforms such as **Snowflake, AWS, Azure, or GCP**.* Exposure to **zero-copy data sharing**.* Strong troubleshooting and data-quality mindset.* Ability to trace data from **source → identity resolution → segmentation → activation**.* Good written communication and documentation skills.Preferred Certifications* Salesforce Data Cloud Consultant* Salesforce Marketing Cloud Administrator* Salesforce Marketing Cloud Email SpecialistGood to Have* Previous experience with another **Customer Data Platform (CDP)**.* Experience working with customer data, audience activation, and marketing automation ecosystems.
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