Keyrus

Solution Architect - Enterprise Data Platform & Cloud Solutions

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

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
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration Data Analysis Project Management Remote Collaboration remote

Likely questions

  1. Tell us about work you have done that is close to the Solution Architect - Enterprise Data Platform & Cloud Solutions role.
  2. How would you approach your first 30 days at Keyrus?
  3. Which of API integration, Data Analysis and Project Management have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Project Management.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Solution Architect - Enterprise Data Platform & Cloud Solutions role because I can bring practical experience in API integration, Data Analysis and Project Management, learn the team quickly, and contribute to the outcomes Keyrus needs from this hire.

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