Stratio and Data Fabric Data Architect

Description

**Description:** ---------------- Do you want to join a leading company in Customer Science and Marketing Automation? At **Cognodata**, we help our clients enhance their competitive position through advanced information management. Join our team! We are currently seeking a **Data Architect** with experience in designing complex enterprise architectures and modern data platforms. **Key Responsibilities** * Design data architectures tailored to diverse needs and use cases. * Work with layered architectures: Bronze/Raw, Silver/Curated, and Gold/Consumption. * Ensure interoperability across different environments. * Define standards for metadata, modeling, lineage, and data quality. * Design and maintain corporate ontologies, semantic models, and taxonomies. * Advise on automation, DataOps, MLOps, and pipeline monitoring. * Participate in defining data security, access control, and encryption. * Ensure application of FAIR principles. **Key Skills** * Analytical and strategic thinking * Effective communication and data storytelling * Proactivity and results orientation * Ability to adapt to agile environments **What We Offer** Innovative projects in sectors such as banking, retail, insurance... * Professional career development and continuous training. * Positive work environment. * Flexible compensation. * Hybrid remote work (Madrid-based, minimum 2 days/week in the office) * + Flexible working hours. * Intensive working schedule every Friday, and during July and August. * Access to training platforms. **Interested?** Apply now and become part of a company that champions innovation, talent, and professional growth! **Requirements:** --------------- **✅ Minimum Requirements• University degree: Bachelor's, Engineering, or equivalent recognized in the EU.** * Over 8 years of experience in data design and architecture within complex enterprise environments. * Experience with modern architectures: Data Lake, Data Mesh, and Data Fabric. * Advanced experience with Stratio: Virtualizer, Governance, Data Catalog, Data Lineage, Data Quality, Discovery, Ontologies, Rocket, Intelligence, Gen AI, and GoSec. * Experience integrating heterogeneous data sources. * Knowledge of ETL/ELT, APIs, and streaming. * Experience designing and monitoring pipelines. * Familiarity with Docker, Kubernetes, and OpenShift. * Experience defining standards for modeling, metadata, lineage, interoperability, and security.