AWS Cloud Architect / Senior Data Platform Engineer

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 system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision‑making at scale, across industries and geographies. 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.

Role Details

Job location: Barcelona, Spain (Hybrid)
Contract type: Employee / Contractor B2B
Target start date: ASAP
Working hours: Full-time
Compensation: €60k to €80k gross per year / €350 - €450 daily rate B2B

What You'll Architect

As a Senior Data Platform Engineer & Cloud Architect, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision‑making.

This role is both technical and consultative, perfect for someone who can combine hands‑on platform engineering, cloud architecture, automation, and technical leadership. We’re looking for professionals who think like architects and act like builders, translating platform strategy into scalable, secure and high‑performing AWS data platform solutions.

Key Responsibilities

Platform Architecture, Engineering & Modernisation

• Design, evolve and operate enterprise‑scale AWS data platforms supporting multiple teams, tenants and data domains

• Define platform architecture, standards, guardrails and reusable implementation patterns

• Provide architectural leadership for platform initiatives, workload onboarding and the adoption of modern data and Lakehouse technologies

• Deliver scalable, secure, resilient and cost‑efficient platform services while evaluating emerging technologies and future platform capabilities

Automation, DevOps & Operational Excellence

• Design and maintain CI/CD pipelines using GitHub Actions, Terraform and Infrastructure‑as‑Code practices

• Develop automation frameworks using Ansible and scripting technologies to improve efficiency and reduce manual intervention

• Drive platform reliability, observability, governance and operational excellence through automation

• Lead incident resolution, technical troubleshooting, KPI definition and FinOps initiatives to optimise platform performance and cloud costs

Data Platform Services & Analytics

• Lead the evolution of Airflow/MWAA platform services and workflow orchestration capabilities

• Support AWS‑based data workloads leveraging Redshift and modern data processing frameworks

• Enable scalable data sharing, platform connectivity and data consumption across the organisation

• Ensure governance, metadata management, security and compliance while supporting the adoption of technologies such as dbt, Apache Iceberg and Apache Spark

Technical Leadership & Collaboration

• Mentor and coach engineering teams on platform engineering best practices

• Collaborate with Architecture, Security, Governance, Delivery and Business stakeholders

• Produce technical documentation, standards and reference architectures

• Lead POCs and platform modernisation initiatives, bridging architectural vision with hands‑on engineering delivery

Who You Are

• You are curious, analytical, and motivated by solving meaningful business challenges.

• You enjoy turning complexity into clarity and action.

• You balance technical thinking with business understanding.

• You are comfortable working in collaborative and international environments.

• You take ownership of your work and follow through on commitments.

• You value continuous learning and are motivated by long‑term professional growth.

• You communicate clearly and effectively with a variety of stakeholders.

• You think in scalable, reusable and platform‑oriented solutions.

• You combine strategic architectural thinking with hands‑on engineering execution.

What You Bring

Qualifications & Experience

• Relevant academic background or equivalent professional experience.

• 8+ years of experience in Data Engineering, Cloud Engineering, Platform Engineering or DevOps.

• 5+ years of hands‑on experience with AWS cloud technologies.

• 3+ years leading technical implementation initiatives.

• Experience designing, evolving or operating enterprise‑scale cloud data platforms.

• Experience working in Agile environments using tools such as Jira and Confluence.

• Professional proficiency in English.

Technical & Professional Skills

• Strong expertise in AWS Platform Architecture and Data Platform Design.

• Experience with MWAA/Airflow, Terraform and Python.

• Knowledge of ECS/Fargate and Amazon Redshift.

• Experience implementing CI/CD pipelines using GitHub Actions.

• Automation development experience using Ansible and scripting frameworks.

• Strong understanding of data warehouse and data lake concepts.

• Advanced SQL proficiency.

• Experience with metadata management and platform governance.

• Strong analytical and problem‑solving capabilities.

• Ability to apply technical expertise to solve real‑world business challenges.

Nice to Have

• Experience with dbt Core, Cloud, Semantic Layer or Mesh concepts.

• Knowledge of Apache Iceberg and Apache Spark.

• Exposure to FinOps practices and cloud cost optimisation.

• Experience with AWS CloudFormation.

• Experience in consulting or client‑facing environments.

• Exposure to international projects and multicultural teams.

• AWS or related cloud certifications.

What Makes You Successful

• You focus on outcomes rather than activity.

• You approach challenges with curiosity and pragmatism.

• You communicate complex concepts in a clear and accessible way.

• You are comfortable navigating ambiguity and finding practical solutions.

• You contribute to collective intelligence by sharing knowledge and supporting others.

• You combine autonomy with collaboration.

• You continuously look for opportunities to improve systems, processes, and results.

What We Offer at Keyrus Spain

• Competitive salary, paid in 14 instalments (option for 12 from day one).

• Annual performance bonus.

• Meal allowance (Restaurant Tickets): €1,800/year net, distributed over 11 monthly reloads

• Flexible retribution plan: transport & daycare tickets

• Private medical insurance with Sanitas (no copays, dental included)

• 22 days of annual leave, increasing every 3 years (up to 26 days)

• 14 public holidays (Madrid calendar)

• December 24th and 31st are considered company holidays when they fall on working days

• Continuous learning via KLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp‑up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note‑taking purposes during interviews. AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.