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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solution Architect (Manager) AI & Data - **Company:** Ernst & Young - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Batch Processing, Cloud Computing, Cloud Engineering, Data Architecture, Data Infrastructure, Data Systems, DevOps, Network Security, NoSQL, Software Architecture, Cloud Services, Software Engineering, SQL Databases, Data Streaming, Google Cloud, Snowflake, Togaf, Data Layers, Information Technology, Data Management, Databricks, Microservices - **Published:** November 11, 2026 - **Apply:** https://careers.ey.com/talentcommunity/apply/1456356433/?locale=en_US ## About the Role * A completed university degree in a relevant field, such as Data Science, Artificial Intelligence or Computer Science. * A minimum of 5 years of professional experience in designing, building or delivering end-to-end technology solutions, including leading engineering teams. * Strong understanding of data architecture, data modelling and data technologies (SQL/NoSQL), plus networking and infrastructure concepts. * Hands-on experience or a strong background in application and software development, including cloud engineering and DevOps practices, with an understanding of how architectural decisions translate into implementation. * In-depth knowledge of cloud and data platforms, such as Azure, Databricks and Snowflake, and the ability to weigh their suitability, cost and risk for the problem being solved. * Excellent leadership and communication skills in English, including the ability to explain complex architectures clearly, with strong visualization, to business stakeholders and technical teams alike. * Knowledge of security by design across network, application and data layers, including relevant organizational compliance requirements and regulations (e.g., EU AI Act, GDPR). * A proactive, collaborative and commercial mindset, with confidence in client discussions and (pre-)sales and a focus on organizational impact and value creation. Ideally, you also have The following experience is helpful, not essential. Experience in one or more areas can help you get off to a strong start. * Cloud architecture or engineering certification (Microsoft Azure, Databricks, Snowflake, AWS or Google Cloud Platform) and experience with cloud-native architectures, APIs and microservices. * TOGAF certification or equivalent architecture certificates or formal learning. * Experience in the financial or public sector, including an understanding of the regulations and challenges these organizations face when adopting data and AI solutions. * Experience in consultancy. You are used to working in a client-facing role, advising stakeholders and delivering results in project-based environments. * A valid work visa or other form of authorization to work in the Netherlands. ## Description Creating value from data and AI means understanding the business challenge and turning it into a solution that works. As an experienced Solution Architect at EY, you design and guide the implementation of tomorrow's data and AI solutions for our clients. You combine architectural insight with hands-on technical expertise to translate business needs into pragmatic, scalable end-to-end solutions. Whether it is a modern data platform, an advanced AI application, or cloud-native development, you define the technical blueprint, guide the team from design to realization and act as a trusted advisor to business stakeholders and engineering teams. Your new job | About your main responsibilities Depending on the project, you will: * Provide expert consulting services to clients across various sectors, advising on solution architecture and digital transformation. * Translate complex business requirements into coherent architectural blueprints and end-to-end architectures that align with the client's organizational goals and strategic roadmap. Evaluate architectural options through structured trade-off analyses and clearly document design decisions. * Select appropriate integration patterns, such as APIs, event-driven integration, batch processing and data streaming, based on the solution's functional and non-functional requirements. * Define how components and services interact, including applications, APIs, data platforms, cloud services, networking and security, and capture this in clear architecture diagrams and technical documentation that technical and non-technical audiences can understand. * Steer and coach engineering teams from design to delivery, manage technical deliverables and ensure projects are executed with excellence. * Influence key stakeholders across the client's organization, from IT teams to executive leadership, steering them towards strategic technology investments. * Contribute to sales and pre-sales: identify opportunities, develop propositions, lead the process and persuade clients.