Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build a next-gen Payments Data Platform using AWS technologies.
- Company: Join a leading tech firm in London with a hybrid work model.
- Benefits: Competitive contract rate, flexible working, and opportunities for skill enhancement.
- Why this job: Be at the forefront of data architecture and make a significant impact in payments.
- Qualifications: Strong AWS Data Architecture experience and knowledge of payments domain required.
- Other info: Exciting role with potential for long-term engagement and career growth.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a hands-on AWS Data Architect to design, build, and evolve a next-generation Payments Data Platform. You will play a critical role in ingesting ISO 20022 payment events into an AWS-based Lakehouse architecture, enabling high-quality, scalable, and governed data products.
This role combines architecture, engineering, and data product ownership, where you will drive end-to-end delivery across Customer Experience (CX), Payments, and CPO domains. You will be responsible for defining SLAs, managing backlogs, ensuring observability, and optimising cost and performance across the platform.
Essential Skills & Experience
- Strong experience in AWS Data Architecture, including S3, Glue, Athena, Redshift, Lambda, and Step Functions
- Deep expertise in streaming and event-driven systems, including Kafka (Confluent/MSK), Kinesis, and EventBridge
- Experience with schema management (Avro/Protobuf, Schema Registry, schema evolution strategies)
- Hands-on experience designing real-time and batch data pipelines, including CDC, partitioning, replay, and idempotency
- Strong understanding of payments domain and ISO 20022 standards (PAIN, PACS, CAMT, SWIFT/file-based systems)
- Proven experience implementing data governance frameworks (data ownership, quality SLAs, lineage, retention)
- Experience building observability and monitoring frameworks with actionable alerts and dashboards
- Strong software engineering practices, including CI/CD (GitLab/Jenkins), automated testing, and secure coding
- Experience with Infrastructure as Code (Terraform)
- Data Architecture Fundamentals (Must-Have)
- Strong understanding of logical and physical data modelling, including ERDs, normalization (up to BCNF), and denormalization strategies
- Experience designing analytical and transactional data models (star schema, Data Vault, OLTP vs OLAP patterns)
- Knowledge of CQRS and event sourcing, including when to apply these patterns effectively
- Expertise in Event-Driven Architecture (EDA), including pub/sub, orchestration, idempotency, and delivery guarantees
- Strong grasp of domain-driven design principles, including bounded contexts, aggregates, and anti-corruption layers
- Experience defining and managing domain events and contracts, including versioning, replay, and schema evolution
Lead AWS Data Architect in Wolverhampton employer: Queen Square Recruitment
Contact Detail:
Queen Square Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AWS Data Architect in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS Data Architecture projects. This could be anything from case studies to GitHub repositories. It’s a great way to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AWS and data architecture. Practice articulating your experience with tools like S3, Glue, and Kafka. Confidence is key, so rehearse until you feel ready to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that Lead AWS Data Architect role!
We think you need these skills to ace Lead AWS Data Architect in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AWS Data Architect role. Highlight your experience with AWS services like S3, Glue, and Redshift, and don’t forget to mention your expertise in streaming systems like Kafka and Kinesis. 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 the perfect fit for this role. Talk about your hands-on experience with data architecture and how you’ve successfully implemented data governance frameworks. Let us know what excites you about working with StudySmarter!
Showcase Relevant Projects: If you’ve worked on projects that involved building data pipelines or designing data models, make sure to showcase them. We love seeing real-world examples of your work, especially if they relate to payments and ISO 20022 standards. This will help us understand your practical experience better!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us you’re genuinely interested in joining the StudySmarter team!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your AWS Inside Out
Make sure you brush up on your AWS Data Architecture skills, especially S3, Glue, and Redshift. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Payments Domain Knowledge
Since this role is heavily focused on the payments domain, be prepared to talk about ISO 20022 standards and how they apply to data architecture. Share specific examples of how you've implemented these standards in your previous work.
✨Demonstrate Your Problem-Solving Skills
Expect to face scenario-based questions that test your ability to design real-time and batch data pipelines. Think through your approach to challenges like schema management and data governance, and be ready to explain your thought process.
✨Prepare for Technical Deep Dives
You might be asked to dive deep into technical topics like event-driven architecture or CI/CD practices. Brush up on these areas and be ready to discuss how you've applied them in your work, including any tools you've used like Terraform or Jenkins.