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- 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: Fully remote work, competitive salary, 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).
Data Architect AWS - Fully Remote in London employer: Akkar
Contact Detail:
Akkar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect AWS - Fully 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 get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data architecture and AI. We want to see how you tackle complex challenges and your thought process behind it.
✨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 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 Data Architect AWS - Fully 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 data architecture and how your background aligns with our goals at StudySmarter. Be genuine and let your personality come through!
Showcase Relevant Projects: If you've worked on projects involving distributed data systems or AI-driven platforms, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
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 AWS. Brush up on your knowledge of building scalable, ML-ready data architectures and be ready to discuss how you've tackled complex data challenges in the past.
✨Showcase Your Technical Skills
Prepare to demonstrate your strong Python skills and experience with PostgreSQL. Be ready to share specific examples of how you've built distributed data systems and handled high-volume telemetry or IoT data. Practical examples will make a lasting impression!
✨Understand the Company’s Vision
Research the company’s focus on AI, robotics, and scientific discovery. Be prepared to discuss how your experience aligns with their mission and how you can contribute to shaping their data architecture and governance frameworks.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data challenges, the technologies they use, and how they envision the future of their data architecture. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.