This job is with Kyndryl, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. We are looking for a Data Architect to join Kyndryl's Applications, Data & AI (ADAI) practice, supporting strategic enterprise data transformation initiatives on Google Cloud Platform (GCP).
The adecuado candidate combines strong architecture expertise with hands-on delivery experience designing modern, scalable, and governed data platforms.
This role will be responsible for defining end-to-end data architectures, translating business requirements into technical solutions, and leading implementation teams to deliver enterprise-grade data ecosystems.
Design and define enterprise-scale data architectures on Google Cloud Platform (GCP).




• Gather business and technical requirements and translate them into scalable data platform strategies and implementation roadmaps.
• Design modern data ecosystems including data lakes, data warehouses, lakehouse architectures, and real-time processing solutions.
• Lead and mentor data engineering teams during implementation and delivery phases.
• Ensure solutions follow enterprise security, compliance, governance, and data quality standards.
• 5+ years of experience designing and implementing enterprise data platforms and architectures.
• Strong experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer, and Vertex AI.
• Proven expertise in modern data architectures including data lakes, data warehouses, and lakehouse patterns.
• Strong understanding of ETL/ELT frameworks, orchestration, and data integration patterns.
Experience with dbt, Airflow, Spark, Kafka, Terraform, or

📌 Data Architect (Madrid)
🏢 Kyndryl
📍 Madrid