Solution Architect - Enterprise Data Platform & Cloud Solutions

Description

Summary: As a Solution Architect, you will architect intelligence at scale, defining enterprise data and analytics platforms, leading solution design, and mentoring engineering teams. Highlights: 1. Architect intelligence at scale for enterprise data and analytics platforms 2. Lead architecture discovery, solution design, and governance 3. Mentor technical teams and influence strategic direction **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 architecture as the discipline that turns strategy into scalable, sustainable technology — not just a diagram * You naturally connect business objectives with technical design decisions that generate measurable, long\-term value * You are comfortable engaging executives, facilitating architecture discussions, and influencing complex technology decisions * You thrive in environments where strategic thinking, technical depth, and cross\-functional collaboration create competitive advantage * You balance architectural rigor with a genuine interest in the practical outcomes that matter to the business * You enjoy mentoring engineering teams and shaping solutions alongside the people who build them * You bring an entrepreneurial mindset and proactively define standards rather than waiting for problems to force them **️ What You Bring** *Qualifications / Certifications* * 7\+ years of experience in Solution Architecture, Data Architecture, Cloud Architecture, or related technology leadership roles *Technical Skills* * Strong experience designing and implementing enterprise\-scale data and analytics platforms * Deep understanding of data architecture, data engineering frameworks, and modern cloud\-based data ecosystems * Experience defining architecture patterns for data ingestion, processing, integration, storage, and analytics * Strong knowledge of platform governance, architecture standards, and technology strategy * Experience guiding technical teams through solution design and implementation activities * Excellent analytical and problem\-solving skills * Strong communication and stakeholder management skills, with the ability to influence technical and business decision\-makers * Ability to translate complex technical concepts into clear business outcomes **Nice\-to\-haves** * Strong expertise with Google Cloud Platform (GCP) and modern cloud\-native data architectures * Experience with technologies such as BigQuery, Dataflow, Cloud Composer, Cloud Storage, and related cloud services * Experience supporting enterprise data modernization, cloud migration, or digital transformation initiatives * Knowledge of data quality frameworks, metadata management, governance, and observability practices * Experience designing highly scalable, secure, and resilient data platforms * Familiarity with Agile delivery methodologies and cross\-functional product teams **What Makes You Successful** * Strong technical leadership and architectural decision\-making abilities * The ability to influence and align diverse stakeholder groups across technical and business levels * A pragmatic approach to solving complex technology challenges * A passion for scalability, performance, quality, and continuous improvement * Excellent collaboration skills and a commitment to building sustainable, long\-term solutions * Advanced English communication skills (written and spoken), with experience collaborating with global, distributed teams * Comfort operating in fast\-paced transformation programs with multiple concurrent initiatives **Role Details** * Location: Colombia * Contract: Full\-time, indefinite term * Work Model: 100% Remote * Level: Senior / Lead **Rewards \- What We Offer at Keyrus** * 100% remote work * International and multicultural projects * Opportunities to work with leading technologies in the Digital Commerce ecosystem * Access to training programs and continuous professional development * Professional growth opportunities and internal mobility * A culture built on collaboration, innovation, and continuous learning **What We Stand For** * Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know\-how and deliver more comprehensive responses to client challenges. * Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship. * Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse. * Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation. **ABOUT KEYRUS** At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence. Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable: * Intelligence Foundations * Human in Command governance * Performance Steering To create intelligent environments where technology amplifies human capabilities and performance compounds over time. With 30\+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations. AI does not transform businesses. Architected intelligence does. Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP). For more information: www.keyrus.com