Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and own the core data architecture for a cutting-edge AI-driven platform.
- Company: Join a high-growth deep-tech company at the forefront of AI and robotics.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative team environment with real ownership in defining data strategies.
- Why this job: Shape the future of scientific discovery with innovative data solutions.
- 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).
Remote Data Architect in London employer: Akkar
Contact Detail:
Akkar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Architect 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 or GitHub repository showcasing your projects related to data architecture and AI. We want to see what you can do, so make it easy for potential employers to check out your 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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Architect. Highlight your experience with data architecture, distributed systems, and any relevant technologies like PostgreSQL or AWS. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI, robotics, and scientific discovery. Share specific examples of your past work that relate to the challenges we face at StudySmarter.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your experience with Python, graph databases, and any other relevant tools. We’re looking for someone who can hit the ground running, so make it clear how you can contribute.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows us you’re keen on joining the StudySmarter 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 practically.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python prowess and experience with PostgreSQL. Have examples ready that highlight your work with large-scale data systems and any relevant projects involving graph or vector databases. This is your chance to shine, so don’t hold back on sharing your successes!
✨Understand the Company’s Vision
Research the company’s mission and how they’re leveraging AI and robotics in scientific discovery. Be ready 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 prepared with insightful questions about the role, team dynamics, and future projects. Ask about their approach to data governance or how they handle real-time data challenges. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.