Solutions Architect
Listed on 2026-09-12
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IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations, IT Consultant, Systems Analyst
We are seeking a highly motivated Solution Architect to lead the technology strategy and solution design for Loyalty & Customer Engagement platforms, Rewards, Personalization, Promotions, Customer Identity, and Voice of Customer capabilities.
This role partners closely with Product, Engineering, Data & Analytics, Enterprise Architecture, User Experience, and Business stakeholders to define scalable, customer-focused solutions that support digital growth strategy. The Solution Architect will serve as the technical leader responsible for ensuring solutions align with enterprise standards while enabling innovative customer experiences across digital and in-store channels.
The ideal candidate for this role has 5 to 10 years of relevant work experience. Typically part of the solution development team, the solution architect is responsible for translating the requirements created by functional analysts into the architecture for that solution and describing it through the set of architecture and design artifacts. Those artifacts are then used by the rest of the development team to implement the solution.
The process of defining architecture by the solution architect often involves selection of the most appropriate technology for the problem being solved.
The architect will provide technical leadership across areas such as:
- Rewards and Incentive Platforms
- Personalized Offers & Promotions
- Customer Engagement Services
- Voice of Customer Platforms (e.g., Medallia and customer feedback ecosystems)
- Customer Data and Profile Services
- Marketing Technology Integrations
- Customer Analytics and Personalization Solutions
- Retail, eCommerce, Loyalty, Customer Engagement, or Marketing Technology experience.
- Experience with customer loyalty platforms, promotions engines, rewards systems, or personalization solutions.
- Experience integrating customer feedback and Voice of Customer platforms into operational workflows.
- Experience with customer data platforms, analytics, AI, and machine learning use cases.
- Knowledge of event streaming technologies, messaging systems, and modern data platforms.
- Experience supporting high-volume customer-facing applications.
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