Data Architect

Gate Gourmet; Madrid; Presencial; EUR 65.000 - 95.000; Jornada completa

Descripción de la vacante

gategroup seeks a Data Architect to design and implement scalable data architectures, models, and governance across data lakes, warehouses, and external sources. You will work with business and technology stakeholders to align data strategy with enterprise goals.

The role emphasizes security, GDPR compliance, cloud platforms (AWS/Azure/GCP), and performance, with focus on high availability and reliable data flows to support analytics and decision-making.

Formación

• 5+ years of professional experience in data architecture or data engineering.
• Proven design/implementation of relational DBs, data warehouses, and data lakes.
• Experience with cloud-based data architectures and governance practices.

Responsabilidades

• Design, implement, and maintain scalable data architectures.
• Develop and govern data models to support analytics and governance.
• Oversee data integration across lakes, warehouses, and external sources.
• Optimize performance, scalability, and availability of data platforms.
• Design cloud-based solutions on AWS/Azure/Google Cloud.
• Enable big data processing and analytics capabilities.
• Ensure data governance, security, and privacy compliance.

Conocimientos

Data Architecture Design

Data Modeling

Data Integration

Scalability & Availability

Cloud & Platform Architecture

Big Data & Analytics Enablement

Data Governance & Quality

Data Security & Privacy

Stakeholder Collaboration

Architecture Documentation & Standards

Continuous Improvement

Educación

Bachelor’s degree in Computer Science or related field

Master’s degree in Data Science/CS/Information Management (advantage)

Cloud/Data architecture certifications (advantage)

Herramientas

ERP

HRIS

Finance systems

Procurement systems

Integration platforms

Middleware

IAM / Security tooling

Descripción del empleo

We’re looking for motivated, engaged people to help make everyone’s journeys better.

Job Summary The Data Architect 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.

Main Duties & Responsibilities

• Data Architecture Design: Design, implement, and maintain scalable, reliable, and efficient data architectures aligned with business strategy and data management objectives.
• Data Modeling: Develop and govern conceptual, logical, and physical data models to support business requirements, analytics, and data governance standards.
• Data Integration: Architect and oversee data integration solutions to ensure seamless and reliable data flow across data lakes, data warehouses, operational systems, and external sources.
• Scalability, Performance & Availability: Optimize data platforms for performance, scalability, resilience, and high availability to support large data volumes and business growth.
• Cloud & Platform Architecture: Design and implement cloud-based data solutions using platforms such as AWS, Azure, or Google Cloud, ensuring flexibility, cost efficiency, and scalability.
• Big Data & Advanced Analytics Enablement: Architect solutions for big data processing and analytics, enabling efficient storage, processing, and analysis of large and complex datasets.
• Data Governance & Quality: Define and enforce data governance, data quality, and metadata standards across the data architecture, ensuring consistency, reliability, and compliance.
• Data 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.
• Stakeholder Collaboration: Partner with business leaders, data analysts, data scientists, engineers, and IT teams to translate business needs into robust, future-ready technical solutions.
• Architecture Documentation & Standards: Produce and maintain clear architecture documentation, design principles, standards, and best practices to support reuse and knowledge sharing.
• Continuous Improvement & Innovation: Stay current with emerging data technologies and industry trends, continuously evolving the data architecture to meet changing business and technological needs.

Core Competencies and Requirements

Education

Education Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field Master’s degree in Data Science, Computer Science, or Information Management is an advantage Relevant certifications (e.g. cloud platform certifications, data architecture, or data management) are a plus

Work Experience

Work Experience 5+ 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. Proven 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.

Technical Skills

Technical Skills Strong expertise in enterprise application platforms, including ERP, HRIS, Finance, Procurement, and other corporate support systems, within complex organizational environments. Solid understanding of platform lifecycle management, including system upgrades, patching, maintenance, and end-of-life planning. Proven experience with integration platforms and middleware, supporting data and process integration across on-premise, cloud, and hybrid IT landscapes. Strong knowledge of IT service management, security principles, identity and access management, and audit and compliance requirements. Ability to define, monitor, and optimize platform KPIs related to system reliability, performance, cost efficiency, and user experience.

Language Skills

Language Skills Fluent in English (written and spoken); additional regional languages are an asset.

Required Competencies

Required Competencies Strategic & Systems Thinking: Thinks holistically across complex environments, understanding interdependencies and balancing standardization, simplicity, and scalability. Analytical Problem Solving: Analyzes complex situations, identifies root causes, and develops sound solutions in ambiguous contexts. Decision Making & Ownership: Makes well-reasoned decisions within scope and takes ownership for quality and outcomes. Business Understanding & Context Awareness: Understands business priorities and constraints and applies this context to practical, value-driven decisions. Collaboration & Influence: Collaborates effectively with stakeholders, communicating clearly and influencing through expertise and constructive challenge. Quality, Governance & Risk Awareness: Applies standards and controls with attention to quality, governance, and risk.

gategroup is the global leader in airline catering, retail-on-board and hospitality products and services. gategroup provides passengers with superior culinary and retail experiences, leveraging innovation and advanced technology solutions. Headquartered in Zurich, Switzerland, gategroup delivers operational excellence through the most extensive catering network in the aviation industry, serving passengers from over 200 operating units in over 60 countries/territories across all continents. We work in an exciting industry – fast-paced and ever-changing. Industry trends and customer expectations are constantly evolving and it is critical that we are agile, innovative and ready for change - and our people are our driving force. We offer attractive opportunities to be part of this fast-paced and truly international working environment.