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- Tasks: Design and own the core data architecture for a global AI-driven scientific platform.
- Company: Join a high-growth deep-tech company at the forefront of AI and robotics.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with real ownership in defining platform strategy.
- Why this job: Shape the future of data architecture in innovative AI and robotics projects.
- Qualifications: 8+ years in Data Architecture, strong Python skills, and experience with distributed systems.
The predicted salary is between 80000 - 100000 £ per year.
This is your chance to join a high-growth deep-tech company building a next-generation platform at the intersection of AI, robotics, and scientific discovery.
You’ll play a key role in designing and owning the core data architecture that powers a globally distributed network of automated laboratories, shaping how data is captured, structured, and used to drive AI-led innovation.
- Build the data backbone of a global AI-driven scientific platform.
- Work on complex, high-impact challenges across distributed systems, real-time data, and AI infrastructure.
- Be part of a fast-scaling, collaborative team working at the frontier of robotics, data, and science.
- Gain real ownership in defining data architecture, governance, and platform strategy from the ground up.
- Design and implement a scalable, ML-ready data architecture across scientific and operational systems.
- Build a data lakehouse on AWS to handle large-scale, unstructured data (sensor data, logs, experimental outputs).
- Design distributed data systems that synchronise edge (lab) and cloud environments globally.
- Develop graph and semantic data models for complex, highly relational datasets.
- Integrate vector databases to enable large-scale similarity search and AI use cases.
- Define data governance frameworks, including tenancy, security, and compliance.
- Enable secure, scalable data sharing across enterprise customers and external partners.
- Help shape internal data standards, architecture patterns, and long-term platform strategy.
8+ years experience in Data Architecture / Data Platform Engineering.
- Strong Python experience in production data systems.
- Deep experience with PostgreSQL (ideally AWS RDS).
- Proven experience building distributed data systems at scale.
- Experience working with high-volume telemetry / IoT / time-series data.
- Experience with graph or vector databases (Neo4j, Pinecone, pgvector).
- Background in data governance, multi-tenancy, or secure data sharing.
- Exposure to scientific, robotics, or manufacturing data environments.
- Familiarity with modern data stacks (lakehouse, streaming, real-time pipelines).
AWS Data Architect (Remote) in London employer: Akkar
Contact Detail:
Akkar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Architect (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data architecture and AI. We love seeing real-world applications of your expertise, so make sure to highlight your best work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to be part of our innovative team.
We think you need these skills to ace AWS Data Architect (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with data architecture, AWS, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI, robotics, and scientific discovery. Share specific examples of your work that align with our goals at StudySmarter, and let us know why you want to join our team.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Whether it's Python, PostgreSQL, or building distributed systems, make sure we see your strengths. We’re looking for someone who can hit the ground running, so highlight those key skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to be part of our growing team!
How to prepare for a job interview at Akkar
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture, especially as they relate to AI and robotics. Brush up on your knowledge of distributed systems, data lakes, and governance frameworks. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python prowess and experience with PostgreSQL, especially in AWS environments. Have examples ready that highlight your work with high-volume telemetry or IoT data. This is your chance to shine, so don’t hold back on sharing specific projects where you’ve built scalable data systems.
✨Understand the Company’s Vision
Research the company’s mission and how they’re leveraging AI and robotics in scientific discovery. Be prepared to discuss how your skills align with their goals and how you can contribute to building their next-generation platform. Showing genuine interest in their work will set you apart from other candidates.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come armed with insightful questions about their data architecture strategy, team dynamics, and future projects. This not only demonstrates your enthusiasm for the role but also helps you gauge if the company is the right fit for you. Plus, it shows you’re thinking critically about how you can add value.