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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer & AWS Cloud Architect - **Company:** Keyrus Spain - **Location:** Barcelona, Spain (Remote available) - **Salary:** €91,000.0 - €117,000.0 - **Contract:** Contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Automation of Tests, Cloud Computing, Cloud Engineering, Information Engineering, Data Infrastructure, Data Sharing, Data Warehousing, DevOps, Github, Python (Programming Language), Meta-Data Management, Cloud Services, Ansible, Scripting, Sql Optimization, Apache Spark, Cloudformation, Data Lakes, Infrastructure Automation Frameworks, Atlassian Tools, AWS Fargate, Integration Frameworks, AWS Data Analytics, Virtual Agents, Terraform, Amazon Redshift - **Published:** August 26, 2026 - **Apply:** https://es.indeed.com/viewjob?jk=be9cd7dde29b212a ## About the Role * 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., * 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., * 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. ## Description * 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, 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Dev & Test in the Cloud? 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