Data Platform Architect | Hybrid

About the Opportunity This is not a traditional Data Architect role focused on reporting or modelling. My client is looking for someone who enjoys designing large-scale cloud-native data platforms, defining architectural standards, and solving complex platform challenges across distributed systems. Hybrid | Madrid or Spain Senior / Lead level (+8 years of experience) Up to 85k Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación. What You'll Work On Designing and evolving enterprise-scale data platforms Defining cloud-native architectures on AWS Building event-driven and real-time data solutions using Kafka Driving platform scalability, reliability, security, and cost optimisation Defining architectural standards and governance across teams Providing technical leadership to internal teams and external partners Owning end-to-end platform architecture from ingestion to consumption Improving platform usability, self-service capabilities, and developer experience Working closely with security, compliance, and business stakeholders Tech Stack Cloud: AWS Streaming: Kafka, Confluent Cloud, Confluent Platform Infrastructure as Code: Terraform Programming: Python, SQL AWS Services: EKS, Lambda, Fargate, DynamoDB, MemoryDB Nice to Have: Apache Flink What We're Looking For Strong experience designing large-scale data platforms Deep AWS expertise Hands-on experience with Kafka and event-driven architectures Experience with Terraform and Infrastructure as Code Strong understanding of distributed systems Experience defining architecture standards and best practices Ability to influence technical decisions across multiple teams Strong stakeholder management and communication xohynlm skills Experience working in re