Data Architect
hace 8 horas
Madrid
ppWe’re looking for motivated, engaged people to help make everyone’s journeys better. /p h3Job Summary /h3 pThe bData Architect /b position is responsible for designing and implementing the architecture of data systems to ensure data is stored, processed, and accessed in an efficient, secure, and scalable manner. This role plays a key part in defining data strategies, developing and maintaining data models, and enabling seamless data integration across platforms. Working closely with business and technology stakeholders, the Data Architect ensures data architecture aligns with business needs, governance standards, and future growth, while continuously evolving the data ecosystem through best practices and emerging technologies. /p h3Main Duties Responsibilities /h3 ul liData Architecture Design: Design, implement, and maintain scalable, reliable, and efficient data architectures aligned with business strategy and data management objectives. /li liData Modeling: Develop and govern conceptual, logical, and physical data models to support business requirements, analytics, and data governance standards. /li liData Integration: Architect and oversee data integration solutions to ensure seamless and reliable data flow across data lakes, data warehouses, operational systems, and external sources. /li liScalability, Performance Availability: Optimize data platforms for performance, scalability, resilience, and high availability to support large data volumes and business growth. /li liCloud Platform Architecture: Design and implement cloud-based data solutions using platforms such as AWS, Azure, or Google Cloud, ensuring flexibility, cost efficiency, and scalability. /li liBig Data Advanced Analytics Enablement: Architect solutions for big data processing and analytics, enabling efficient storage, processing, and analysis of large and complex datasets. /li liData Governance Quality: Define and enforce data governance, data quality, and metadata standards across the data architecture, ensuring consistency, reliability, and compliance. /li liData Security Privacy: Ensure data architectures comply with security and privacy regulations (e.g. GDPR, CCPA), including access controls, encryption, data masking, and secure design principles. /li liStakeholder Collaboration: Partner with business leaders, data analysts, data scientists, engineers, and IT teams to translate business needs into robust, future-ready technical solutions. /li liArchitecture Documentation Standards: Produce and maintain clear architecture documentation, design principles, standards, and best practices to support reuse and knowledge sharing. /li liContinuous Improvement Innovation: Stay current with emerging data technologies and industry trends, continuously evolving the data architecture to meet changing business and technological needs. /li /ul h3Core Competencies and Requirements /h3 h3Education /h3 ul liBachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field /li liMaster’s degree in Data Science, Computer Science, or Information Management is an advantage /li liRelevant certifications (e.g. cloud platform certifications, data architecture, or data management) are a plus /li /ul h3Work Experience /h3 ul li5+ years of professional experience in data architecture, data engineering, or a related field, with a strong understanding of data modeling concepts, data architecture and design principles, and modern data management technologies. /li liProven experience designing and implementing data systems, including relational databases, data warehouses, data lakes, and cloud-based data architectures, with a focus on scalability, performance, and reliability. /li /ul h3Technical Skills /h3 ul liStrong expertise in enterprise application platforms, including ERP, HRIS, Finance, Procurement, and other corporate support systems, within complex organizational environments. /li liSolid understanding of platform lifecycle management, including system upgrades, patching, maintenance, and end-of-life planning. /li liProven experience with integration platforms and middleware, supporting data and process integration across on-premise, cloud, and hybrid IT landscapes. /li liStrong knowledge of IT service management, security principles, identity and access management, and audit and compliance requirements. /li liAbility to define, monitor, and optimize platform KPIs related to system reliability, performance, cost efficiency, and user experience. /li /ul h3Language Skills /h3 ul liFluent in English (written and spoken); additional regional languages are an asset. /li /ul h3Required Competencies /h3 pbStrategic Systems Thinking: /b Thinks holistically across complex environments, understanding interdependencies and balancing standardization, simplicity, and scalability. /p pbAnalytical Problem Solving: /b Analyzes complex situations, identifies root causes, and develops sound solutions in ambiguous contexts. /p pbDecision Making Ownership: /b Makes well‑reasoned decisions within scope and takes ownership for quality and outcomes. /p pbBusiness Understanding Context Awareness: /b Understands business priorities and constraints and applies this context to practical, value‑driven decisions. /p pbCollaboration Influence: /b Collaborates effectively with stakeholders, communicating clearly and influencing through expertise and constructive challenge. /p pbQuality, Governance Risk Awareness: /b Applies standards and controls with attention to quality, governance, and risk. /p pIf you want to be part of a team that helps make travel and culinarymemories, join us! /p /p #J-18808-Ljbffr