Salesforce Data Cloud Architect
MOONITSOLUTIONS INC
Richmond, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Richmond, United States of America
Tech stack
Adaptable Database Systems
API
Artificial Intelligence
Data analysis
Cloud Engineering
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Integration
ETL
DevOps
Middleware
Machine Learning
Performance Tuning
Cloud Services
Salesforce
Unstructured Data
Enterprise Data Management
Enterprise Application Integration
Data Strategy
Video Streaming
Marketing Cloud
User Identification
Job description
We are seeking an experienced Salesforce Data Cloud Architect to lead the architecture, design, and implementation of enterprise-scale Salesforce Data Cloud solutions. The ideal candidate will have extensive experience designing Customer 360 solutions, architecting complex data integration frameworks, and delivering scalable, secure, and high-performing Data Cloud implementations. The candidate should possess strong architectural expertise and be able to drive end-to-end Data Cloud implementations while collaborating with business and technical stakeholders., * Lead the architecture and implementation of enterprise solutions on Salesforce Data Cloud.
- Design scalable Customer 360 data models, identity resolution strategies, and audience segmentation frameworks.
- Architect ingestion of structured and unstructured data from CRM, ERP, web, mobile, marketing, and third-party platforms.
- Define data harmonization, mapping, transformation, governance, and security standards.
- Design real-time and batch integration architectures using APIs, ETL/ELT tools, middleware, and streaming technologies.
- Collaborate with business stakeholders to translate business requirements into scalable technical solutions.
- Design secure, compliant, and enterprise-grade architectures aligned with organizational standards.
- Enable activation use cases across Salesforce CRM, Marketing Cloud, Service Cloud, Commerce Cloud, Agentforce, Analytics, and external platforms.
- Provide architectural leadership for AI/ML, personalization, predictive analytics, and Customer 360 initiatives.
- Guide development teams on Salesforce best practices, DevOps, CI/CD, and reusable architecture patterns.
- Conduct architecture reviews, solution optimization, performance tuning, and technical governance.
- Support solution estimation, technical proposals, RFP responses, and roadmap planning.
- Mentor developers, consultants, and administrators on Salesforce Data Cloud capabilities and best practices.
Requirements
- 15-20 years of overall experience in Data Engineering, Data Architecture, or Enterprise Data Solutions.
- Minimum 5 years of hands-on Salesforce Data Cloud experience.
- Strong expertise in Customer 360 architecture and enterprise data strategy.
- Experience designing scalable data models, identity resolution, segmentation, and activation frameworks.
- Deep understanding of enterprise integration patterns, APIs, ETL/ELT, middleware, streaming technologies, and data governance.
- Experience working with Salesforce CRM, Marketing Cloud, Service Cloud, Commerce Cloud, and Agentforce integrations.
- Strong knowledge of security, privacy, consent management, and compliance within Salesforce Data Cloud.
- Excellent stakeholder management, communication, and solution design skills.