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Keyrus

Solution Architect - Enterprise Data Platform & Cloud Solutions

Guildford
Posted about 18 hours ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

🧠 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

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🎯 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

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Skills

Solution Architecture
Data Architecture
Cloud Architecture
Google Cloud Platform
BigQuery
Dataflow
Cloud Composer
Cloud Storage
Data Ingestion
Data Governance
Data Engineering
Stakeholder Management
Agile Methodologies
Cloud Migration
Digital Transformation
Technical Leadership

Location

Guildford, England, United Kingdom

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