At a Glance
- Tasks: Design and maintain data architecture for innovative BI solutions at Arriva.
- Company: Join Arriva, a leading European transport partner with a strong sustainability agenda.
- Benefits: Enjoy competitive salary, career growth, and a dynamic work environment.
- Other info: Collaborative culture with opportunities to mentor and lead within the team.
- Why this job: Make a real impact on data solutions that connect communities across Europe.
- Qualifications: Extensive experience in data architecture and strong SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
Arriva is a leading European passenger transport partner, operating in 11 countries across the UK and Europe. The company employs around 35,000 people, delivering more than 1.5 billion passenger journeys connecting people and communities safely, reliably and sustainably. We have strong roots dating back to 1938, an ambitious growth and sustainability agenda, and a continuously developing relationship with I Squared Capital – a global infrastructure investment fund manager - who acquired Arriva in 2024.
This role will be based from either our London or Sunderland office. The Data Architect is responsible for defining and maintaining the overall data architecture strategy that enables Arriva’s BI and self-serve analytics capabilities. This role establishes the technical vision, standards and frameworks that enable scalable, efficient, and secure data solutions across the organisation.
Working closely with the Lead BI Engineers, BI engineers, Lead BI Developer, and BI Developers, the Data Architect ensures that data models, pipelines, and storage solutions are designed to support current and future business needs and growth. They will act as a technical authority and strategic advisor, balancing architectural excellence alongside timely delivery, and play a critical role in evaluating new technologies, ensuring that Arriva’s data infrastructure remains modern, performant, and competitive with industry best practice.
Direct Responsibilities- Architecture Design & Strategy
- Assess existing data architectures, documenting current-state models, pipelines, technologies, standards, and approaches.
- Define and maintain the enterprise data architecture vision and roadmap, ensuring alignment with business objectives and BI product strategy.
- Design logical and physical data models that support efficient reporting, analytics, and self-service BI capabilities.
- Establish architectural patterns and frameworks (e.g. medallion architecture, data vault, dimensional modelling) for consistent implementation across data solutions.
- Evaluate and recommend architectural approaches for data storage, processing, and consumption, including lakehouse, data warehousing, and data lake patterns.
- Design technical architecture for cloud-based data platforms (AWS preferred: Redshift, Athena, S3, Glue).
- Create and maintain architecture documentation, including data flow diagrams, architecture decision records, and design patterns.
- Technology Leadership & Innovation
- Research, evaluate, and recommend new technologies and tools that enhance Arriva’s data and BI capabilities.
- Stay current with emerging trends including open table formats (Apache Iceberg, Delta Lake), data observability, real-time/streaming architectures, and cloud-native solutions.
- Conduct proofs-of-concept and technical assessments to validate new technologies before adoption.
- Monitor industry best practices and ensure Arriva’s architecture remains competitive and future-proof.
- Data Modelling & Standards
- Define and document standard business entities, metrics, and KPIs to ensure consistency across reporting.
- Review and approve complex data models designed by BI Engineers, ensuring alignment with architectural standards.
- Design and implement data governance framework, ensuring clear accountability of data products within the platform.
- Collaboration & Leadership
- Work with Group BI & Data Director to define strategy and frameworks.
- Provide technical guidance and mentorship to BI Engineers and Lead BI Engineer on architectural decisions and complex data challenges.
- Collaborate with BI Developers to understand frontend requirements and ensure data architecture supports optimal dashboard performance.
- Partner with BI Product Manager to translate business strategy into technical architecture requirements.
- Facilitate architecture discussions and workshops with technical and non-technical stakeholders.
- Establish documentation standards and frameworks in collaboration with Lead BI Engineer and Lead BI Developer, ensuring practical adoption and accessibility for both technical teams and business stakeholders.
- Essential Experience
- Extensive experience in data architecture with proven track record of designing and implementing enterprise-scale data solutions.
- Deep expertise in data modelling techniques with strong SQL proficiency.
- Comprehensive knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial).
- Strong understanding of modern data engineering patterns including ETL/ELT, data lake architectures, and lakehouse approaches.
- Understanding of emerging technologies such as open table formats (Apache Iceberg, Delta Lake), data observability tools, and real-time/streaming architectures.
- Experience with data governance frameworks, data quality tools, metadata management, and ensuring compliance with security and regulatory requirements.
- Personal Attributes
- Strong business acumen with ability to translate business requirements into technical architecture and understand how data enables business outcomes.
- Continuous learning mindset with curiosity about new technologies.
- Pragmatic approach that balances architectural excellence with practical delivery constraints and timely delivery.
The closing date for applications is Friday 13th February 2026. Arriva Group reserves the right to close this vacancy early.
Data Architect in London employer: Arriva Rail London
Arriva is an exceptional employer, offering a dynamic work environment where innovation and sustainability are at the forefront of our mission. With a commitment to employee growth, we provide ample opportunities for professional development and a collaborative culture that values diverse perspectives. Working from our London or Sunderland office, you'll be part of a forward-thinking team dedicated to shaping the future of passenger transport across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Arriva Rail London!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at Arriva Rail London.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Arriva Rail London.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Arriva Rail London, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Arriva Rail London, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Arriva Rail London. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Arriva Rail London
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Arriva Rail London!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.