Referencia: AG_Data Integrations Lead (VP)
We are looking for an experienced Data Integration Lead to help shape and deliver the future-state technology landscape across integral Corporate Functions.
This is a unique opportunity to lead the design and evolution of enterprise-wide data integration capabilities across cloud-native, hybrid, SaaS, and on-premise environments within a highly regulated financial services organization.
In this role, you will:
Define and drive the enterprise data integration architecture and roadmap.
Lead strategic integration initiatives across Google Cloud Platform, enterprise services, and business-critical applications.
Design scalable integration patterns covering batch, real-time, event-driven, API-led, and CDC-based architectures.
Drive the modernization of legacy ETL platforms towards cloud-native solutions.
Establish architecture standards, reusable frameworks, and best practices for data movement and integration.
Provide technical leadership, governance, and design assurance across large-scale transformation programs.




Mentor engineering teams and promote excellence in DevOps, CI/CD, automation, observability, and platform modernization.
Key technologies include:
Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Run, Cloud Functions, Kubernetes)
Kafka and event-streaming technologies
StreamSets, Informatica, IICS, uFlow, and orchestration platforms
Python and modern software engineering practices
API-led integration, microservices, real-time processing, and CDC architectures
We're looking for professionals with:
10+ years of experience in Data Integration, Data Engineering, ETL, or Integration Architecture
Strong cloud architecture experience, particularly within GCP environments
Expertise in streaming data platforms and event-driven architectures
Experience operating in complex hybrid-cloud ecosystems
A proven track record of technical leadership and architectural decision-making
Experience within Banking, As

📌 Data Integration Lead (Madrid)
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📍 Madrid