Data Architect

Kuoni Tumlare; Barcelona; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Global Brand: Opportunity to work in an international environment

Learning and Development opportunities

Flexible & Hybrid Working

Company Wide Bonus Scheme

Annual Awards and Recognition

Job summary

Kuoni Tumlare is seeking a Data Architect to design and maintain the organization’s data architecture. This role involves ensuring data quality, security, and structure, and collaborating with developers and analysts on data models and flows. The ideal candidate should have strong experience with data modeling, relational databases, and ETL tools. The position offers a supportive and collaborative work environment in Barcelona, with opportunities for professional growth and development.

Qualifications

• Strong knowledge of data modeling techniques and best practices.
• Experience with relational databases and modern data platforms.
• Ability to design scalable and maintainable data solutions.

Responsibilities

• Design and maintain the enterprise data architecture.
• Manage logical and physical data models.
• Collaborate to ensure data protection and compliance.

Skills

Data modeling

Relational databases

ETL/ELT tools

Data governance

Analytical thinking

Tools

MS SQL

Oracle

PostgreSQL

Azure

AWS

GCP

Power BI

Tableau

Job description

About Kuoni Tumlare

Kuoni Tumlare is a Destination Management Company, part of JTB Group that delivers travel solutions and experiences that create value for our Partners and Society. We are a fun group, valuing our employees’ contributions and opinions, and striving to develop talent internally. The travel industry is dynamic, exciting, and adaptable with many interesting opportunities to explore.

Role Overview

The Data Architect is responsible for design, development, and maintenance of the organization’s data architecture. This role ensures that data is high-quality, consistent, secure, well-structured, and effectively utilized across systems and processes. The Data Architect collaborates closely with software developers, business analysts, data analysts, and database administrators to design data models, integrations, and data flows. This role will be critical part of our project team and working on a global, enterprise-level, high-budget project delivered over the next 2 years.

Key Responsibilities

• Design and maintain the enterprise data architecture, including data models, standards, and principles.
• Define and manage logical and physical data models in line with business and technical requirements.
• Design data flows, integration layers, and interfaces between systems (ETL/ELT processes, APIs, message queues).
• Contribute to the design and maintenance of data warehouses, data lakes, and analytical platforms.
• Implement data governance principles – management of data domains, metadata, data quality, and reference data.
• Collaborate with security and compliance teams to ensure data protection and GDPR compliance.
• Support the development of data strategy and data culture across the organization.
• Document data structures, standards, and methodologies.
• Provide expert guidance to projects in the area of data layer design.

Technical

• Strong knowledge of data modeling (conceptual, logical, physical; 3NF, star schema, snowflake).
• Expertise with relational databases (MS SQL, Oracle, PostgreSQL, etc.) and modern data platforms (Azure, AWS, GCP).
• Experience with ETL/ELT tools (e.g., SSIS, Talend, Informatica, dbt, Synapse, Data Factory).
• Familiarity with data governance, master data management (MDM), and metadata management.
• Understanding of integration architectures (REST, SOAP, messaging, event streaming – e.g., Kafka).
• Advantage: experience with data modeling tools (Erwin, PowerDesigner, ArchiMate, Enterprise Architect, dbdiagram.io, PlantUML).
• Advantage: familiarity with BI and analytics tools (Power BI, Tableau, Qlik).

General

• Strong analytical and systems thinking.
• Ability to design scalable and maintainable solutions.
• Excellent communication skills with both technical and business stakeholders.
• Experience in leading or coordinating data-related projects is an advantage.

What we offer

• Global Brand: Opportunity to work in an international environment
• Stability: 100 Years at the top of our field and still pushing into new territory
• Progression: We reward high performers and look to promote key talent internally
• Learning and Development opportunities for growth and Upskilling
• A Supportive Management Culture and autonomous working environment
• Company Wide Bonus Scheme
• Dedicated Employee Engagement Activities
• Flexible & Hybrid Working
• Annual Awards and Recognition for high Performers
• Friendly and Collaborative work environment