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For Companies At a Glance
- Tasks: Design and maintain data architecture, ensuring high-quality and secure data across systems.
- Company: Join Kuoni Tumlare, a fun and innovative Destination Management Company.
- Benefits: Enjoy flexible working, learning opportunities, and a supportive management culture.
- Other info: Collaborative environment with excellent career progression and recognition for high performers.
- Why this job: Be part of a global project that shapes the future of travel data solutions.
- Qualifications: Strong knowledge of data modelling and experience with relational databases required.
The predicted salary is between 60000 - 80000 £ per year.
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 a 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.
Data Architect employer: Kuoni Tumlare
Contact Detail:
Kuoni Tumlare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Kuoni Tumlare. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your data architecture skills. Share examples of past projects where you designed data models or improved data flows. We want to see how you can add value!
✨Tailor Your Approach
Before any interview, do your homework on Kuoni Tumlare and the role. Understand their data needs and think about how your experience aligns with their goals. This shows you're genuinely interested and ready to contribute.
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're proactive and keen to join our team.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data modelling, ETL processes, and any relevant tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's designing data models or implementing data governance principles, we want to see your hands-on experience and how it relates to our needs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Kuoni Tumlare
✨Know Your Data Models
Make sure you brush up on your data modelling skills, especially conceptual, logical, and physical models. Be ready to discuss how you've applied these in past projects, as this will show your practical understanding of the role.
✨Familiarise with ETL/ELT Tools
Get comfortable with the ETL/ELT tools mentioned in the job description, like SSIS or Talend. If you have experience with any of these, prepare to share specific examples of how you've used them to solve data challenges.
✨Understand Data Governance
Since data governance is a key responsibility, be prepared to talk about your experience with data quality management and compliance, particularly GDPR. This shows that you understand the importance of data protection in today’s environment.
✨Communicate Effectively
Practice explaining complex data concepts in simple terms. You’ll need to collaborate with both technical and business stakeholders, so demonstrating your communication skills can set you apart from other candidates.