Architect
Job requirements
- Architect and design scalable, secure, and high-performance e-commerce solutions using Salesforce Commerce Cloud
- Lead SFCC project implementations, including SFRA-based storefronts and integrations with external systems
- Translate business requirements into robust technical designs in collaboration with stakeholders and development teams
- Establish and enforce code quality, deployment, and continuous integration standards within the Salesforce Commerce Cloud ecosystem
- Integrate and optimize Einstein for Commerce features to drive personalization and product recommendations
- Configure and customize Salesforce Order Management (SOM) to enhance order processing and fulfillment workflows
- Mentor development teams in advanced SFCC and SFRA concepts, ensuring compliance with architectural standards
- Resolve complex technical issues, conduct root cause analysis, and implement effective solutions in e-commerce environments
- Salesforce Commerce Cloud (SFCC) architecture
- Salesforce Reference Architecture (SFRA)
- Salesforce Order Management (SOM)
- Einstein for Commerce implementation and optimization
- JavaScript and Node.js for server-side scripting in SFCC
- RESTful API integration
- E-commerce platform security and performance optimization
- Git version control
- Continuous integration and automated deployment pipelines for SFCC
- Data modeling and catalog management in Salesforce Commerce Cloud
- Headless commerce architecture and API design
- B2B and B2C commerce model expertise within Salesforce
- Cloud platform experience (AWS or Azure) for e-commerce hosting
- AI-driven merchandising and personalization strategies
- Salesforce Certified B2C Commerce Architect
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Salesforce Certified B2C Commerce Developer
- Salesforce Certified B2C Commerce Architect (preferred)
Experience Range: 7 to 10 years of experience, including substantial hands-on expertise architecting and implementing Salesforce Commerce Cloud solutions Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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