Data Cloud Consultant

Role Overview:

We are looking for a hands-on Salesforce Data 360 builder/developer to support a short-term client engagement focused heavily on audience segmentation and activation.

This is not an architecture or advisory role. The consultant will spend their time working directly inside Data 360, taking audience requirements from BRDs/ARDs and turning them into production-ready segments.

The core workflow is:

Audience requirement → Build segment in Data 360 → Validate data/counts → Publish/activate → Hand off to Marketing Cloud team

Responsibilities:
- Review Business Requirement Documents (BRDs) and Audience Requirement Documents (ARDs) and translate them into Data 360 segment logic
- Build production audience segments using the Data 360 segmentation canvas
- Create nested segments, related-attribute filters, inclusion/exclusion criteria, and more complex audience logic
- Use SQL and queries for data validation, audience-count reconciliation, and troubleshooting
- Configure and publish Data 360 activations into Salesforce Marketing Cloud and other downstream Salesforce destinations
- Troubleshoot failed activations, incorrect audience counts, missing records, and other data issues
- Configure and maintain Data Streams, DLOs, DMOs, mappings, and relationships as needed to support segmentation
- Configure and validate Identity Resolution rulesets
- Build Calculated Insights and formula fields used in audience segmentation
- Monitor Data Stream refreshes, segment schedules, and activation run history
- Document segment logic and activation configurations for ongoing maintenance
- Work directly with client data and marketing stakeholders to translate business audience requirements into working technical solutions

Required Experience
- Hands-on production experience building audience segments in Salesforce Data 360 / Data Cloud
- Hands-on experience publishing and troubleshooting Data 360 activations
- SQL experience for audience logic, validation, and troubleshooting
- Ability to investigate discrepancies between source data, unified profiles, segment counts, and activated audiences
- Comfortable taking a BRD/ARD and independently translating it into a working Data 360 segment
- Strong communication skills and ability to explain data issues to non-technical client stakeholders

Strong understanding of:
- Data Streams
- Data Lake Objects (DLOs)
- Data Model Objects (DMOs)
- DLO-to-DMO mappings
- Relationships
- Identity Resolution
- Calculated Insights
- Segmentation and activation

Ideal Profile:

The strongest candidate does not need to be a Data Cloud architect.

We are looking for someone who has spent meaningful time working hands-on inside Data 360 and can independently take an audience requirement and build, validate, troubleshoot, and publish the segment.

Candidates whose experience is primarily Data Cloud strategy, architecture, training, or sandbox work without real production segmentation and activation experience will not be a fit.