Salesforce Data Cloud Architect
Coforge
29 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Tech stack
API
Artificial Intelligence
Big Data
Cloud Computing
Customer Data Management
Data Architecture
Data Governance
Data Integration
ETL
Data Warehousing
Performance Tuning
Salesforce
Data Lake
Information Technology
Marketing Cloud
Mulesoft
Job description
We are seeking a seasoned Salesforce Data Cloud Architect to lead the design and implementation of scalable, high-performance solutions using Salesforce Data Cloud. The ideal candidate will have deep expertise in Salesforce architecture, data modeling, and integration strategies, with a strong understanding of customer data platforms (CDPs)., * Lead end-to-end architecture for Salesforce Data Cloud implementations
- Design scalable data models and ingestion pipelines for real-time and batch data
- Define data governance, security, and compliance strategies
Requirements
- Total Experience: Minimum 10 years
- Salesforce Data Cloud Experience: Minimum 3 years, * Extensive experience in an Information Technology role (>8 years)
- 5+ years' experience as a Salesforce developer required.
- SFDC platform developer I and II, App builder certification preferred
- Experience working in a 1000+ user organization with large data volumes preferred
- Familiarity with sales, service and marketing processes
- Collaborate with business stakeholders to translate requirements into technical solutions
- Integrate Salesforce Data Cloud with external systems using MuleSoft, APIs, and ETL tools
- Provide technical leadership and mentorship to development teams
- Ensure performance optimization and best practices across the data ecosystem
Required Skills:
- Strong expertise in Salesforce Data Cloud (Customer Data Platform)
- Deep understanding of data architecture, data lakes, and data warehousing concepts
- Experience with Salesforce CRM, Marketing Cloud, and Einstein AI
- Proficiency in data integration tools (MuleSoft, Informatica, etc.)
- Knowledge of identity resolution, segmentation, and activation strategies
- Excellent communication and stakeholder management skills