Data Architect

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 OverviewThe 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 ResponsibilitiesDesign 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.TechnicalStrong 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).GeneralStrong 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 offerGlobal Brand: Opportunity to work in an international environmentStability: 100 Years at the top of our field and still pushing into new territoryProgression: We reward high performers and look to promote key talent internallyLearning and Development opportunities for growth and UpskillingA Supportive Management Culture and autonomous working environmentCompany Wide Bonus SchemeDedicated Employee Engagement ActivitiesFlexible & Hybrid WorkingAnnual Awards and Recognition for high PerformersFriendly and Collaborative work environment#J-*****-Ljbffr

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.

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 #J-*****-Ljbffr