Job Opportunities API

Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every client challenge you solve, every opportunity you shape, and every strategic partnership you help build. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and executive decision-making at scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. 🚀 What You'll Architect As a Solution Architect at Keyrus, you will literally architect intelligence at scale — defining the target-state architecture of enterprise data and analytics platforms that turn fragmented technology into an orchestrated Operating System of the intelligent enterprise. You will lead discovery, solution design, and governance across the full platform lifecycle, translating business ambition into scalable, secure, and high-performing cloud solutions, while mentoring the engineering teams who bring that architecture to life. You will: Lead architecture discovery sessions and collaborate with stakeholders to understand business goals, technical requirements, and long-term platform objectives Define and maintain the target-state architecture for enterprise data and analytics platforms Develop high-level and detailed solution designs that balance scalability, performance, security, maintainability, and business value Provide technical leadership throughout the solution lifecycle, from concept through implementation Design and guide enterprise data platform ecosystems that support analytics, reporting, operational data needs, and future business growth Define architecture patterns for data ingestion, transformation, storage, integration, and consumption Establish standards and best practices for data pipelines, platform services, and engineering frameworks Ensure solutions support high levels of reliability, extensibility, and operational efficiency Establish architectural standards, reference models, design principles, and governance frameworks Provide guidance on technology selection, platform capabilities, tooling strategies, and implementation approaches Drive consistency across projects by promoting reusable patterns, automation, and best practices Review solution designs and implementation plans to ensure alignment with enterprise architecture standards Define strategies for platform observability, monitoring, operational readiness, and supportability Guide the implementation of data quality, reliability, and governance frameworks across the platform Establish operational processes, runbooks, support models, and performance monitoring standards Partner closely with engineering, data, product, and business teams to align technology solutions with strategic objectives Facilitate architecture discussions and provide technical recommendations to stakeholders at multiple organizational levels Mentor technical teams and support knowledge sharing across architecture and engineering functions Influence technical direction and drive alignment across multiple workstreams and initiatives 🧠 Who You Are You see architect