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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
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