At a Glance
- Tasks: Lead data architecture projects and innovate with modern AI platforms.
- Company: Join a rapidly growing EdTech company transforming education in the UK.
- Benefits: Competitive salary up to £125k, fully remote work, and career advancement.
- Other info: Exciting opportunity for growth in a dynamic, tech-driven environment.
- Why this job: Shape the future of education with cutting-edge data solutions and AI technology.
- Qualifications: Strong experience in data architecture and leadership skills required.
The predicted salary is between 125000 - 125000 € per year.
Oliver Bernard have partnered with one of the fastest growing EdTech companies in the UK who are looking for a senior data engineering leader with strong architecture experience across modern data and AI platforms.
Key skills:
- Data architecture across OLTP & OLAP environments
- Snowflake / cloud-native data platforms
- Data modelling (Star Schema, Medallion)
- AI & LLM architecture including RAG and real-time inference
- DataOps, CI/CD and Infrastructure as Code
- Strong stakeholder engagement and technical leadership
Bonus:
- MLOps / LLMOps experience
- Platform cost optimisation
Senior Data Architect in Swindon employer: Oliver Bernard
Join one of the UK's fastest growing EdTech companies, where innovation meets opportunity in a fully remote environment. With a strong focus on employee growth and development, we offer competitive salaries, a collaborative work culture, and the chance to lead cutting-edge projects in data architecture and AI. Our commitment to fostering talent ensures that you will thrive in your role while making a meaningful impact in the education sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect in Swindon
✨Tip Number 1
Network like a pro! Reach out to your connections in the EdTech space and let them know you're on the hunt for a Senior Data Architect role. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with data architecture, especially around Snowflake and AI platforms. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your knowledge of DataOps, CI/CD, and Infrastructure as Code. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Senior Data Architect in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Architect role. Highlight your experience with data architecture, especially in OLTP & OLAP environments, and any relevant projects you've worked on with Snowflake or cloud-native platforms.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples to show how you've applied data modelling techniques like Star Schema or Medallion in your previous roles. This will help us see your practical experience.
Engage with Stakeholders:Since strong stakeholder engagement is key, mention instances where you’ve successfully collaborated with different teams or stakeholders. This shows us that you can lead and communicate effectively in a technical environment.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in data architecture principles, especially around OLTP and OLAP environments. Brush up on your knowledge of Snowflake and cloud-native platforms, as these will likely be key discussion points during the interview.
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling techniques like Star Schema and Medallion. Bring examples of how you've implemented these in past projects, as this will demonstrate your practical expertise and problem-solving abilities.
✨Engage with Stakeholders
Highlight your experience in stakeholder engagement and technical leadership. Think of specific instances where you’ve successfully communicated complex data concepts to non-technical stakeholders, as this shows your ability to bridge the gap between tech and business.
✨Prepare for AI & LLM Discussions
Since the role involves AI and LLM architecture, be ready to discuss your understanding of RAG and real-time inference. If you have any MLOps or LLMOps experience, make sure to bring that up, as it could set you apart from other candidates.
