About the Role:

We are seeking an experienced Salesforce Data Cloud Lead to own the operational stability, governance, support, optimization, and roadmap execution of the Salesforce Data Cloud platform within a complex enterprise ecosystem.The role will serve as the primary technical and functional SME for Data Cloud, supporting customer profile unification, identity resolution, data ingestion, segmentation, activations, and customer intelligence use cases.The successful candidate will lead Data Cloud support operations, drive platform adoption, support business stakeholders, and manage transition activities from an incumbent service provider.

This role requires a strong combination of Data Cloud architecture, data engineering, production support leadership, and stakeholder management skills.

Key Responsibilities

Data Cloud Platform Ownership

- Act as the primary Data Cloud SME and platform owner.
- Govern platform configuration, architecture, scalability, and operational processes.
- Establish Data Cloud governance standards and operational procedures.
- Drive continuous optimization of customer data models and activation strategies.
- Ensure platform reliability and business continuity.

L3 Production Support Leadership

- Serve as the highest technical escalation point for Data Cloud incidents.
- Lead diagnosis and resolution of Sev-1 and Sev-2 issues impacting customer data processes.
- Investigate:
- Data ingestion failures
- Identity resolution inconsistencies
- Segmentation issues
- Activation failures
- Data quality problems

- Drive root cause analysis and preventive remediation actions.
- Develop operational monitoring and support frameworks.

Customer Data Model Governance

- Own Customer 360 data modeling standards.
- Design and maintain:
- Data Model Objects (DMOs)
- Custom Data Models
- Data Relationships
- Business Rules
- Data Governance Standards

- Ensure consistency and quality across customer master data domains.

Identity Resolution & Unified Profiles

- Lead design and optimization of identity resolution strategies.
- Troubleshoot:
- Match rule issues
- Reconciliation issues
- Duplicate customer profiles




- Profile fragmentation problems

- Improve customer profile accuracy and completeness.

Data Ingestion & Integration Support

Support data onboarding and ingestion from multiple enterprise systems including:

- Salesforce Core Clouds
- SAP
- Contact Center Platforms
- Enterprise Data Lakes
- External Applications
- Middleware Platforms

Responsibilities include:

- Data stream monitoring
- Data pipeline troubleshooting
- Transformation validation
- Data reconciliation
- Error remediation

Segmentation & Activation Support

Own operational support for:

- Customer Segments
- Calculated Insights
- Activation Targets
- Marketing Data Consumption
- Customer Service Use Cases

Ensure data is correctly activated across downstream channels and business systems.

Data Quality & Governance

- Establish data quality monitoring processes.
- Identify and remediate:
- Missing customer data
- Data duplication
- Identity conflicts
- Synchronization failures
- Data integrity issues

- Define operational controls and governance standards.

Stakeholder Leadership

Partner with:

- CRM Teams
- Customer Service Teams
- Marketing Teams
- Enterprise Data Teams
- SAP Teams
- Analytics Teams

Translate business requirements into Data Cloud capabilities and platform enhancements.

Transition & Knowledge Takeover

- Lead Data Cloud transition activities from incumbent vendors.
- Assess existing implementation quality and technical debt.
- Review:
- Data Streams
- Data Models
- Identity Rules
- Calculated Insights
- Segment Logic
- Activations

- Build support documentation and runbooks.

Required Experience

Overall Experience

- 6-8 years of IT experience.
- Minimum 3 years working with Salesforce Data Cloud.




- Minimum 2 years supporting enterprise-scale Customer Data Platforms.
- Experience in Managed Services or Production Support environments.

Mandatory Salesforce Experience

Strong experience with:

- Salesforce Service Cloud
- Salesforce Platform
- Customer Data Architecture
- Data Governance
- Security Model
- Integration Frameworks

Candidate must understand how customer data is generated and consumed across Salesforce ecosystems.

Mandatory Data Cloud Expertise

Hands-on experience in:

Data Foundations

- Data Streams
- Data Lake Objects
- Data Model Objects
- Unified Individual
- Data Harmonization

Identity Resolution

- Matching Rules
- Reconciliation Rules
- Unified Profiles
- Consent & Privacy Considerations

Activations

- Segmentation
- Activation Targets
- Customer Audience Management

Insights

- Calculated Insights
- Data Transformations
- Customer KPIs

Must have independently built and supported Data Cloud solutions.

Data Engineering Competencies

Solid knowledge of:

- Customer Data Platforms (CDP)
- Data Lake Concepts
- Data Warehousing
- ETL/ELT Processes
- Data Modeling
- Customer 360 Architectures

Experience with:

- SQL
- Data Quality Frameworks
- Data Reconciliation Processes

Enterprise Integration Understanding

Although not the Integration Lead role, the candidate must understand how Data Cloud interacts with:

- Salesforce Service Cloud
- SAP
- Contact Center Systems
- Middleware Platforms
- Data Warehouses
- Marketing Platforms

Must be capable of troubleshooting data flow issues across multiple systems.

Certifications

Mandatory

At least one:

- Salesforce Data Cloud Consultant
- Salesforce Administrator

Strongly Preferred

- Salesforce Data Cloud Consultant
- Salesforce Data Architect
- Salesforce Application Architect
- Platform Developer I
- AI Associate
- AI Specialist

#LI-Hybrid

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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