01Overview
Job Description
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 failuresIdentity resolution inconsistenciesSegmentation issuesActivation failuresData quality problemsDrive 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 ModelsData RelationshipsBusiness RulesData Governance StandardsEnsure consistency and quality across customer master data domains.
Identity Resolution & Unified Profiles
Lead design and optimization of identity resolution strategies.Troubleshoot:Match rule issuesReconciliation issuesDuplicate customer profilesProfile fragmentation problemsImprove customer profile accuracy and completeness.
Data Ingestion & Integration Support
Support data onboarding and ingestion from multiple enterprise systems including:
Salesforce Core CloudsSAPContact Center PlatformsEnterprise Data LakesExternal ApplicationsMiddleware Platforms
Responsibilities Include
Data stream monitoringData pipeline troubleshootingTransformation validationData reconciliationError remediation
Segmentation & Activation Support
Own Operational Support For
Customer SegmentsCalculated InsightsActivation TargetsMarketing Data ConsumptionCustomer 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 dataData duplicationIdentity conflictsSynchronization failuresData integrity issuesDefine operational controls and governance standards.
Stakeholder Leadership
Partner With
CRM TeamsCustomer Service TeamsMarketing TeamsEnterprise Data TeamsSAP TeamsAnalytics 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 StreamsData ModelsIdentity RulesCalculated InsightsSegment LogicActivationsBuild 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 CloudSalesforce PlatformCustomer Data ArchitectureData GovernanceSecurity ModelIntegration 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 StreamsData Lake ObjectsData Model ObjectsUnified IndividualData Harmonization
Identity Resolution
Matching RulesReconciliation RulesUnified ProfilesConsent & Privacy Considerations
Activations
SegmentationActivation TargetsCustomer Audience Management
Insights
Calculated InsightsData TransformationsCustomer KPIs
Must have independently built and supported Data Cloud solutions.
Data Engineering Competencies
Strong Knowledge Of
Customer Data Platforms (CDP)Data Lake ConceptsData WarehousingETL/ELT ProcessesData ModelingCustomer 360 Architectures
Experience With
SQLData Quality FrameworksData Reconciliation Processes
Enterprise Integration Understanding
Although not the Integration Lead role, the candidate must understand how Data Cloud interacts with:
Salesforce Service CloudSAPContact Job De