> Markdown version of [/jobs/ext/2528059-nba-solution-architect](https://www.wearedevelopers.com/jobs/ext/2528059-nba-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # NBA) Solution Architect - **Company:** Rapsys Technologies - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Decision Support Systems, Monitoring of Systems, Machine Learning, Microsoft Dynamics, Power BI, Azure Machine Learning, Pega, Azure Service Bus, Event Driven Architecture, Adobe, Microsoft Fabric, Data Lineage, Complex Event Processing, Tealium, Operational Systems, Cloud Integration, Api Design, Api Management, Serverless Computing - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/a8d2e380-0330-49fd-8b30-9f987a3bd0cb ## About the Role Power BI Data Governance and Data Lineage Strongly Preferred Experience Implementation of Next Best Action, recommendation, decisioning, personalization, or customer engagement platforms. Experience with Pega, Adobe, Salesforce Marketing Cloud, FICO, Customer Insights, Tealium, or similar decisioning platforms. Experience designing suppression frameworks, eligibility frameworks, action catalogs, signal stores, and customer decisioning architectures. Experience supporting both batch and real-time decisioning channels. Critical Capabilities Explain when to use Azure Logic Apps vs Azure Functions vs Service Bus. Design orchestration and rules engine interaction patterns. Explain why and when a separate Signal Store is required. Determine when Azure ML should be used versus Fabric ML. Design recommendation delivery patterns for MyBH Chat, CI-J, and future channels. Design highly scalable, auditable, and explainable recommendation services. Ideal Candidate Strong Azure architect first, Fabric architect second. Comfortable with operational systems, APIs, integration, and event processing. Can lead architecture discussions with executives, engineers, data teams, and business stakeholders. Can translate customer behavior, signals, and business goals into scalable decisioning solutions. ## Description Lead the architecture and design of Bright Horizons Next Best Action platform across Microsoft Fabric, Azure, Dynamics 365 Customer Insights, orchestration, rules execution, activation channels, and AI/ML capabilities. The architect must be capable of making architecture trade-off decisions across Fabric, Azure integration services, real-time decisioning, event-driven processing, and machine learning platforms. Recommended Skill Weighting Azure Architecture & Integration Services - 50% Microsoft Fabric & Data Foundation - 30% NBA / Personalization / Decisioning Experience - 20% Primary Responsibilities Define end-to-end NBA architecture across Fabric, Azure, Customer Insights, and AI/ML services. Design Signal Store, Action Catalog, Decision Support, Decision History, and Profile integration architecture. Define synchronous and asynchronous decisioning patterns. Lead architecture decisions around session context, suppression, eligibility, prioritization, and recommendation delivery. Design APIs, orchestration services, event-driven processing, and channel integration patterns. Define MyBH, Customer Insights Journeys, Contact Center, and future Chat activation architecture. Lead architecture decisions for Azure ML vs Fabric ML, batch scoring vs real-time scoring, and model operationalization. Provide architecture governance, technical leadership, and design reviews. Required Azure Skills (High Priority) Azure API Management Azure Functions Azure Logic Apps Azure Service Bus Event Grid App Services / Container Apps Azure Monitoring & Observability Event-Driven Architecture API-First Design Identity, Security, and Integration Patterns Required Fabric Skills (High Priority) OneLake Lakehouse Architecture Fabric Data Engineering ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [NoCode LiveCode: Leveraging AI Tools to Craft Fully Functional Apps!](https://www.wearedevelopers.com/videos/1169-nocode-livecode-leveraging-ai-tools-to-craft-fully-functional-apps) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Lost and Wasted Time: Searching for the Cozy Web](https://www.wearedevelopers.com/videos/2107-lost-and-wasted-time-searching-for-the-cozy-web) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)