IT Data Architect

MISSION Reporting directly to the Global Head of IT Architecture, the Data Lead / Data Architect is responsible for defining, designing, and governing the company’s end-to-end data architecture and data strategy. This role ensures that data platforms, pipelines, and models are scalable, secure, and aligned with business and analytics needs. Acting as the bridge between business, engineering, and analytics, the Data Lead enables reliable, high-quality data products that support decision-making, innovation, and long-term growth. DATA STRATEGY & ARCHITECTURE Define and own the enterprise data strategy, data architecture, and target-state roadmap. Translate business and analytical requirements into scalable, resilient, and cost-efficient data solutions. Legacy Data Warehouse Management (Oracle) Own and maintain the existing Oracle Data Warehouse , ensuring stability, performance, data quality, and business continuity. Oversee optimization, monitoring, and support of current Oracle-based workloads while minimizing technical debt during the transition phase. Data Platform & Architecture Design Design, develop, and maintain modern data platform architecture in Microsoft Azure environments. Define data models (conceptual, logical, and physical), integration patterns, and standards for batch and real-time data processing in a real-time international trading context. Data Migration & Modernization Roadmap Define and execute a phased migration strategy to move workloads, data models, and reporting from the Oracle Data Warehouse to the new target data architecture. Assess workload criticality, dependencies, and risks; define migration priorities, timelines, and success metrics to ensure a smooth and low-risk transition. Data Engineering & Integration Oversee the design and implementation of data pipelines and ETL / ELT processes. Ensure data reliability, performance optimization, and monitoring across data ingestion, transformation, and consumption layers. Governance, Security & Quality Establish and enforce data governance frameworks, data quality standards, and metadata management. Define data ownership, access controls, security policies, and compliance requirements (e.g., GDPR, HIPAA), ensuring trusted and compliant data usage across the organization. Cross-functional Collaboration Work closely with the enterprise architect, business stakeholders, analytics teams, BI, ML, and software engineering to align data architecture with reporting, advanced analytics, and product needs. Act as a technical advisor to senior leadership on data-related initiatives. Tooling & Technology Evaluation Drive the selection and evolution of data platforms and tools (e.g., Microsoft Fabric, Databricks, Snowflake, etc). Evaluate emerging data technologies to improve scalability, performance, and cost efficiency. Team Leadership & Enablement Lead, mentor, and grow the data engineering and analytics architecture teams. Set technical standards, promote best practices, and foster a strong data culture across the organization. REQUIRED EDUCATION AND EXPERIENCE Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field 7+ years of experience in data architecture, data engineering, or advanced analytics roles 2+ years in a technical leadership or managerial role Strong expertise in SQL and data modeling (dimensional, normalized, and analytical models) Hands-on experience designing and operating large-scale data platforms (real-time data processing experience will be a plus) Experience with Azure or other cloud providers and modern data warehouses / lakehouses Solid background in ETL / ELT frameworks and data pipeline orchestration Experience in setting up data governance and data management QUALIFICATIONS AND SKILLS Deep understanding of modern data architectures and distributed data systems Strong knowledge of data governance frameworks and hands-on experience with data cataloging and lineage tools Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders Strong prioritization and project management capabilities Strategic and analytical mindset with a passion for building reliable data foundations Proven leadership and mentoring skills for data engineers and architects Strong collaboration skills across business, analytics, engineering, and executive teams Problem-solving mindset with the ability to design, troubleshoot, and optimize complex data systems High attention to detail and commitment to data quality and reliability Fluent in English EU citizen or holder of a valid work permit in Spain (Office location in Barcelona)