Junior Data Architect
Hace 1 día
Barcelona, Barcelonés (comarca); Provincia de Barcelona; Cataluña, España
Keyrus
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Why Keyrus, Why NowKeyrus 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 DetailsJob
location:
Barcelona, Spain (Hybrid)Contract type: Employee / Contractor B2BðTarget start date: ASAPWorking hours: Full-time Compensation: 60k to 80k gross per year / 350
- 450 daily rate B2B What You'll ArchitectAs a Senior Data Architect (AWS), 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 & ModernisationDesign, evolve and operate enterprise-scale AWS data platforms supporting multiple teams, tenants and data domainsDefine platform architecture, standards, guardrails and reusable implementation patternsProvide architectural leadership for platform initiatives, workload onboarding and the adoption of modern data and Lakehouse technologiesDeliver scalable, secure, resilient and cost-efficient platform services while evaluating emerging technologies and future platform capabilitiesAutomation, DevOps & Operational ExcellenceDesign and maintain CI/CD pipelines using GitHub Actions, Terraform and Infrastructure-as-Code practicesDevelop automation frameworks using Ansible and scripting technologies to improve efficiency and reduce manual interventionDrive platform reliability, observability, governance and operational excellence through automationLead incident resolution, technical troubleshooting, KPI definition and FinOps initiatives to optimise platform performance and cloud costsData Platform Services & AnalyticsLead the evolution of Airflow/MWAA platform services and workflow orchestration capabilitiesSupport AWS-based data workloads leveraging Redshift and modern data processing frameworksEnable scalable data sharing, platform connectivity and data consumption across the organisationEnsure governance, metadata management, security and compliance while supporting the adoption of technologies such as dbt, Apache Iceberg and Apache SparkTechnical Leadership & CollaborationMentor and coach engineering teams on platform engineering best practicesCollaborate with Architecture, Security, Governance, Delivery and Business stakeholdersProduce technical documentation, standards and reference architecturesLead POCs and platform modernisation initiatives, bridging architectural vision with hands-on engineering delivery Who You AreYou 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.
ð ️ What You BringQualifications & ExperienceRelevant 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 Ag
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 DetailsJob
location:
Barcelona, Spain (Hybrid)Contract type: Employee / Contractor B2BðTarget start date: ASAPWorking hours: Full-time Compensation: 60k to 80k gross per year / 350
- 450 daily rate B2B What You'll ArchitectAs a Senior Data Architect (AWS), 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 & ModernisationDesign, evolve and operate enterprise-scale AWS data platforms supporting multiple teams, tenants and data domainsDefine platform architecture, standards, guardrails and reusable implementation patternsProvide architectural leadership for platform initiatives, workload onboarding and the adoption of modern data and Lakehouse technologiesDeliver scalable, secure, resilient and cost-efficient platform services while evaluating emerging technologies and future platform capabilitiesAutomation, DevOps & Operational ExcellenceDesign and maintain CI/CD pipelines using GitHub Actions, Terraform and Infrastructure-as-Code practicesDevelop automation frameworks using Ansible and scripting technologies to improve efficiency and reduce manual interventionDrive platform reliability, observability, governance and operational excellence through automationLead incident resolution, technical troubleshooting, KPI definition and FinOps initiatives to optimise platform performance and cloud costsData Platform Services & AnalyticsLead the evolution of Airflow/MWAA platform services and workflow orchestration capabilitiesSupport AWS-based data workloads leveraging Redshift and modern data processing frameworksEnable scalable data sharing, platform connectivity and data consumption across the organisationEnsure governance, metadata management, security and compliance while supporting the adoption of technologies such as dbt, Apache Iceberg and Apache SparkTechnical Leadership & CollaborationMentor and coach engineering teams on platform engineering best practicesCollaborate with Architecture, Security, Governance, Delivery and Business stakeholdersProduce technical documentation, standards and reference architecturesLead POCs and platform modernisation initiatives, bridging architectural vision with hands-on engineering delivery Who You AreYou 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.
ð ️ What You BringQualifications & ExperienceRelevant 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 Ag