At a Glance
- Tasks: Design and build a next-gen Payments Data Platform on AWS.
- Company: Leading tech firm in London with a hybrid work culture.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Exciting contract role with potential for long-term impact.
- Why this job: Join a dynamic team and shape the future of payment data architecture.
- Qualifications: Strong AWS Data Architecture experience and knowledge of payments domain.
The predicted salary is between 60000 - 80000 € 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)
- 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 Nottingham employer: Queen Square Recruitment
As a Lead AWS Data Architect in London, you will join a forward-thinking company that prioritises innovation and employee development. With a hybrid work model, competitive contract terms, and a collaborative culture, this role offers the chance to work on cutting-edge projects while enjoying a supportive environment that fosters professional growth and encourages creativity. The company's commitment to excellence in the payments domain ensures that your contributions will have a meaningful impact on the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AWS Data Architect in Nottingham
✨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 practising common questions related to AWS and data architecture. Think about how you can relate your past experiences to the role of Lead AWS Data Architect. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a straightforward way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead AWS Data Architect in Nottingham
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 us at 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. It helps us understand your practical experience better!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for. We can’t wait to hear from you!
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 past experiences and be ready to explain your thought process and the decisions you made during those projects.
✨Prepare for Technical Questions
You might be asked about schema management and event-driven systems like Kafka or Kinesis. Brush up on these topics and be ready to discuss how you've applied them in your work, including any governance frameworks you've implemented.
