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
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 skills
- Experience working in regulated environments is a plus
Additional Information
- High-impact architecture ownership role
- Enterprise-scale platform challenges
- Modern cloud-native environment
- Strong focus on architecture, governance, and platform strategy
- International and collaborative engineering culture
- Open to Data Platform Architects and Principal Engineers who enjoy solving large-scale architecture challenges across AWS, Kafka, and modern cloud-native ecosystems
