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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 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 Strong 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
Most are in India and the US. Here's how to pick the right one for you.
74.689Jobs
17.483IN
79%EN
WorkMundi's database shows 74,689 open sales positions globally. India leads with 17,483 jobs, followed by the US with 13,876. If you're open to geography, you have real options — but the sheer number means you need a filter. Don't apply to everything. Pick a country, a company size, and a sales model that matches what you actually want to do.
Almost 8 in 10 of these ads have their text written in English. That's useful for reading the job description and understanding what you're signing up for. But it tells you nothing about whether the role requires you to speak English with customers, partners, or your team. Ask the hiring manager directly during your first conversation.
The employers posting the most are boxlunch, SIMPLE RECRUIT, FlexBoard, and tmobile. If you see their name on a listing, you know they're actively hiring. That can work in your favor — high-volume recruiters often move faster. But volume also means competition. Your application needs to stand out.
Sales interviews almost always include a version of this: 'Tell me about a time you lost a deal. What did you learn?' Prepare a real story where you take ownership of what went wrong and what you'd do differently. Hiring managers want to see you learn, not just win.