Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data solutions for our attractions.
- Company: Join Merlin Entertainments, a leader in global attractions and digital transformation.
- Benefits: Enjoy a hybrid work model, 28 days holiday, and exclusive discounts on attractions and LEGO.
- Why this job: Be part of a dynamic team enhancing guest experiences through innovative data architecture.
- Qualifications: Experience in data architecture, cloud services, and big data technologies required.
- Other info: We celebrate diversity and welcome applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Location: Hybrid - London, Blackfriars
Join us at Merlin Entertainments as we transform the future of digital guest experiences across our iconic global attractions. Merlin is embarking on an exciting Digital and Data Transformation focused on enhancing the end-to-end guest journey in our attractions. The Data Product Architect will play a pivotal role in bridging the gap between business needs and technical solutions, ensuring data products are scalable, reliable and aligned with business objectives.
As a Data Architect, you will work alongside teams such as Product, Data Engineering/Analytics and Business Stakeholders to design data solutions that enable the business to analyse and report more accurately and lead to improved decision making.
- Create and update an architectural vision and roadmap for data products.
- Define the structure, flow and integration of data products within the business.
- Leverage cloud services to build scalable data products.
- Ensure all data products adhere to governance, compliance and security standards.
- Work with Data engineering/analytics teams to ensure products meet user needs.
- Monitor the performance of data products and implement improvements as desired.
Experienced in designing and implementing data architecture within complex organisations. Expertise in modern data architectures i.e. data lakes and warehouses. Hands-on experience with Databricks and Cloud services (Azure, GCP or AWS). Experience in using cloud-native services for data engineering and analytics. Experience with distributed systems, serverless data pipelines, and big data technologies.
Benefits include Pension, Life Assurance, discretionary company bonus, 28 days’ holiday and, of course, a Merlin Magic Pass which gives you and your friends and family free admission to all of our attractions worldwide, as well as 25% discount in our retail shops and restaurants and 40% discount on LEGO.
Diversity and inclusion are central to how we work — we celebrate individuality and strive to build an environment where everyone can thrive. We’re proud to be an equal opportunities employer, welcoming applications from all backgrounds and identities, including age, ethnicity, gender, disability, neurodiversity, sexual orientation, family or parental status, religion, and veteran status.
Data Architect - Big Data employer: Merlin Entertainments
Contact Detail:
Merlin Entertainments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Big Data
✨Tip Number 1
Familiarise yourself with the specific cloud services mentioned in the job description, such as Azure, GCP, or AWS. Having hands-on experience with these platforms will not only boost your confidence but also demonstrate your technical capabilities during discussions.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience in big data technologies and data governance. Engaging with industry experts can provide you with insights and potentially valuable connections that may help you land the job.
✨Tip Number 3
Prepare to discuss real-world examples of how you've designed and implemented data architectures in complex organisations. Being able to articulate your past experiences clearly will show your potential employer that you can handle the responsibilities of the role effectively.
✨Tip Number 4
Stay updated on the latest trends and best practices in data architecture, particularly around data lakes and warehouses. Showing that you are proactive about learning and adapting to new technologies will make you a more attractive candidate.
We think you need these skills to ace Data Architect - Big Data
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position. Familiarise yourself with key terms like data lakes, cloud services, and data governance to demonstrate your knowledge in your application.
Tailor Your CV: Customise your CV to highlight relevant experience in data architecture, particularly with big data technologies and cloud services like Azure, GCP, or AWS. Use specific examples that showcase your ability to design scalable data solutions.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Emphasise your understanding of the digital transformation in guest experiences and how your expertise can contribute to Merlin Entertainments' goals.
Highlight Team Collaboration: Since the role involves working with various teams, mention any past experiences where you successfully collaborated with product, engineering, or business stakeholders. This will show your ability to bridge the gap between technical and business needs.
How to prepare for a job interview at Merlin Entertainments
✨Understand the Role
Make sure you have a clear understanding of what a Data Product Architect does. Familiarise yourself with the responsibilities outlined in the job description, especially around bridging business needs and technical solutions.
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Databricks and cloud services like Azure, GCP, or AWS. Highlight specific projects where you've implemented data architecture and how it benefited the organisation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Prepare examples of how you've designed scalable data solutions or improved data governance in previous roles, as this will demonstrate your ability to think critically.
✨Emphasise Collaboration
Since the role involves working with various teams, be ready to discuss your experience collaborating with product, data engineering, and business stakeholders. Share examples of how effective communication led to successful project outcomes.
