Salesforce Data Cloud Solution Architect
Coforge Limited
San Diego, CA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Amazon Web Services
Applications Architecture
Application Integration Architecture
Microsoft Azure
Cloud Computing
Customer Data Management
Data Architecture
Data Governance
Extract Transform Load (ETL)
Data Visualization
Data Warehousing
+22 more
Monitoring of Systems
JSON
Python (Programming Language)
Cloud Services
Salesforce.Com
SQL Databases
Data Streaming
Systems Architecture
Tableau (Software)
Talend
Extensible Markup Language (XML)
Apex Code
Google Cloud
Data Ingestion
Informatica Powercenter
Snowflake
Data Lakes
Integration Frameworks
Stream Processing
Marketing Cloud
User Identification
Mulesoft
Job description
- Solution Design & Architecture Implementation & Integration Design end-to-end data architecture using Salesforce Data Cloud, integrating with various Salesforce clouds (Sales, Service, Marketing, etc.) and external systems.
- Define data models, ingestion pipelines, identity resolution strategies, and activation mechanisms. Ensure alignment with enterprise data governance and security standards.
- Lead the implementation of Data Cloud features including data ingestion, harmonization, segmentation, and activation.
- Collaborate with integration teams to connect external data sources (eg, AWS, Azure, Snowflake, Mulesoft).
- Oversee ETL/ELT processes and ensure data quality and consistency.
- Work with business analysts, marketers, and data scientists to understand data needs and translate them into technical solutions.
- Provide guidance and best practices to development teams and ensure adherence to architectural standards.
- Monitor system performance and optimize data flows and queries.
- Implement scalable solutions to handle large volumes of customer data.
- Create architectural documentation, data flow diagrams, and technical specifications.
- Train internal teams on Data Cloud capabilities and usage.
Requirements
- Technical Competencies Deep understanding of Salesforce Data Cloud (CDP), CRM Analytics, Marketing Cloud, and core Salesforce platform.
- Experience with Salesforce data models, APIs, and integration patterns.
- Strong knowledge of data modeling, data lakes, data warehouses, and Real Time data processing.
- Experience with identity resolution, data harmonization, and segmentation strategies.
- Proficiency in tools like Mulesoft, Informatica, Talend, or custom ETL solutions.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data connectors.
- SQL, Python, Apex, and familiarity with JSON, XML. Experience with data visualization tools (Tableau, CRM Analytics).
- Understanding of data privacy regulations (GDPR, CCPA) and Salesforce Shield.
- Experience implementing role-based access controls and encryption.
Certifications
- (Preferred) Salesforce Certified Data Cloud Consultant.
- Salesforce Certified Integration Architecture Designer.
- Salesforce Certified Application Architect or System Architect.
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