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# Data Architect GCP. Madrid

- **Company:** Kyndryls
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, BigQuery, Cloud Computing, Cloud Storage, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Power BI, DataOps, Cloudera, Tableau (Software), Enterprise Data Management, Google Cloud, Apache Spark, Data Lakes, Infrastructure Automation Frameworks, Apache Kafka, Data Management, Terraform, Looker Analytics, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

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. - Experience leading technical teams and coordinating implementation activities. - Strong understanding of ETL/ELT frameworks, orchestration, and data integration patterns. **Preferred Technical Skills:** - Experience with dbt, Airflow, Spark, Kafka, Terraform, or Databricks. - Familiarity with CI/CD, Infrastructure as Code, and DataOps practices. - Knowledge of analytics and visualization platforms such as Looker, Power BI, or Tableau. - Google Cloud certifications such as Professional Data Engineer or Professional Cloud Architect are highly valued. Soft Skills - Strong analytical and structured problem-solving mindset. **Being You** The "Kyn" in

## Description

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. **Key Responsibilities:** - 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. - Collaborate with technical and non-technical stakeholders to align architecture decisions with business objectives. **Who You Are** **Required Experience** : - 5+ years of


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