Salesforce Integration Cloud Consultant
Salesforce Integration Cloud Consultant
Cibersites IndiaThis job is no longer accepting applications
Job Description
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
Support data onboarding and ingestion from multiple enterprise systems including:
Own Operational Support For
Data Quality & Governance
Partner With
Transition & Knowledge Takeover
Overall Experience
Strong experience with:
Mandatory Data Cloud Expertise
Hands-on Experience In
Data Foundations
Data Engineering Competencies
Strong Knowledge Of
Although not the Integration Lead role, the candidate must understand how Data Cloud interacts with:
Certifications
Mandatory
At Least One
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.
- 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.
- 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.
- 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.
Support data onboarding and ingestion from multiple enterprise systems including:
- Salesforce Core Clouds
- SAP
- Contact Center Platforms
- Enterprise Data Lakes
- External Applications
- Middleware Platforms
- Data stream monitoring
- Data pipeline troubleshooting
- Transformation validation
- Data reconciliation
- Error remediation
Own Operational Support For
- Customer Segments
- Calculated Insights
- Activation Targets
- Marketing Data Consumption
- Customer Service Use Cases
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.
Partner With
- CRM Teams
- Customer Service Teams
- Marketing Teams
- Enterprise Data Teams
- SAP Teams
- Analytics Teams
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.
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.
Strong experience with:
- Salesforce Service Cloud
- Salesforce Platform
- Customer Data Architecture
- Data Governance
- Security Model
- Integration Frameworks
Mandatory Data Cloud Expertise
Hands-on Experience In
Data Foundations
- Data Streams
- Data Lake Objects
- Data Model Objects
- Unified Individual
- Data Harmonization
- Matching Rules
- Reconciliation Rules
- Unified Profiles
- Consent & Privacy Considerations
- Segmentation
- Activation Targets
- Customer Audience Management
- Calculated Insights
- Data Transformations
- Customer KPIs
Data Engineering Competencies
Strong Knowledge Of
- Customer Data Platforms (CDP)
- Data Lake Concepts
- Data Warehousing
- ETL/ELT Processes
- Data Modeling
- Customer 360 Architectures
- SQL
- Data Quality Frameworks
- Data Reconciliation Processes
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
Certifications
Mandatory
At Least One
- Salesforce Data Cloud Consultant
- Salesforce Administrator
- Salesforce Data Cloud Consultant
- Salesforce Data Architect
- Salesforce Application Architect
- Platform Developer I
- AI Associate
- AI Specialist
More Info
Key Skills
Data Streams
Consent Privacy Considerations
Data Lake Objects
Data Model Objects
Unified Profiles
Salesforce Data Cloud
Data Reconciliation Processes
Data Quality Frameworks
Reconciliation Rules
Salesforce Platform
Data Transformations
Customer Audience Management
Data Harmonization
Activation Targets
Unified Individual
Calculated Insights
Matching Rules
Customer Data Architecture
Customer KPIs
Integration Frameworks
