Data Architect Division/Entity: Getnet Platforms Getnet Platforms is part of Santander Payment Solutions and brings together a set of key platforms within Santander's global payments technology ecosystem. It includes software-as-a-service capabilities across the entire payments value chain, such as account-to-account processing, FX, SWIFT connectivity, fraud management and card processing infrastructure. It enables financial institutions, non-bank financial institutions (NBFIs) and payment service providers (PSPs) to operate, scale and evolve their payment capabilities across multiple rails, markets and regulatory environments, without the need to rebuild their core systems.

Proven at scale, including within Santander itself, these platforms provide a modular foundation that complements Getnet's global payment capabilities to support client growth through payments.

At Getnet

Platforms, your work connects to something bigger, creating a real impact across integral teams and markets for our clients and communities. Lead the design of complex data architectures across multiple domains and high‐impact initiatives. Translate enterprise data principles and standards into scalable solution designs aligned with business and technical needs.

Ensure domain architecture aligns with enterprise data standards and normalization initiatives. Contributes to the definition and evolution of data principles, modelling standards and architectural patterns. Support canonical model definition and data harmonization across domains.





Lead technical execution of data migration and modernization initiatives while improving scalability, performance and cost‐efficiency. Act as a technical reference for Data Architects and Data Engineers, leading architecture review sessions and providing constructive feedback. We are in search of a Data Architect to join our team in Madrid, with the following qualifications and background: 7+ years of experience in Data Architecture, Data Engineering or related roles. (Proven experience leading complex data initiatives across multiple teams or domains. (Bachelor's or Master's Degree in Computer Science, Engineering, Mathematics or a related field, or equivalent experience. (Professional working proficiency in English. (Strong expertise in modern cloud data ecosystems and distributed processing frameworks. (Deep knowledge of data modelling and data integration patterns. (Experience designing scalable Data Lake, Data Warehouse or Lakehouse architecture. (Strong understanding of streaming platforms such as Kafka or equivalent, APIs and CDC mechanisms. (Experience working in Agile/DevOps environments with CI/CD and Infrastructure as Code practices. (Experience with AWS cloud data ecosystems. (Experience with Azure or GCP cloud data ecosystems. (We care for your well‐being, so you will have health insurance, life insurance, dental insurance, annual health care, and access to Wellhub.

We promote flexibility with a hybrid and collaborative model;

📌 Data Engineer AWS (Financial Sector) (Madrid)
🏢 Getnet Platforms
📍 Madrid