Data Platform Architect | Hybrid (Cuenca) (Madrid) - Up To €85.000 A Year
85000 €/añoTalent-R
About the OpportunityThis 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.What You'll Work OnDesigning and evolving enterprise-scale data platformsDefining cloud-native architectures on AWSBuilding event-driven and real-time data solutions using KafkaDriving platform scalability, reliability, security, and cost optimisationDefining architectural standards and governance across teamsProviding technical leadership to internal teams and external partnersOwning end-to-end platform architecture from ingestion to consumptionImproving platform usability, self-service capabilities, and developer experienceWorking closely with security, compliance, and business stakeholdersTech StackCloud:AWSStreaming:Kafka, Confluent Cloud, Confluent PlatformInfrastructure as Code:TerraformProgramming:Python, SQLAWS Services:EKS, Lambda, Fargate, DynamoDB, MemoryDBNice to Have:Apache FlinkWhat We're Looking ForStrong experience designing large-scale data platformsDeep AWS expertiseHands-on experience with Kafka and event-driven architecturesExperience with Terraform and Infrastructure as CodeStrong understanding of distributed systemsExperience defining architecture standards and best practicesAbility to influence technical decisions across multiple teamsStrong stakeholder management and communication skillsExperience working in regulated environments is a plusAdditional InformationHigh-impact architecture ownership roleEnterprise-scale platform challengesModern cloud-native environmentStrong focus on architecture, governance, and platform strategyInternational and collaborative engineering cultureOpen to Data Platform Architects and Principal Engineers who enjoy solving large-scale architecture challenges across AWS, Kafka, and modern cloud-native ecosystems#J-*****-Ljbffr
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