At a Glance
- Tasks: Lead data architecture projects and innovate with AI platforms in a fully remote role.
- Company: Join a fast-growing EdTech company revolutionising education through technology.
- Benefits: Competitive salary up to £125k, flexible remote work, and opportunities for professional growth.
- Other info: Exciting opportunity for career advancement in a dynamic and supportive team.
- Why this job: Make a significant impact in the EdTech sector while working with cutting-edge data technologies.
- Qualifications: Strong experience in data architecture and leadership in modern data environments.
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
Locations
Senior Data Architect in Cheshire, Warrington 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, you will have access to cutting-edge technology and the chance to lead impactful projects in data architecture and AI. Enjoy a collaborative work culture that values your expertise and encourages continuous learning, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect in Cheshire, Warrington
✨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. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.
✨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 give you a leg up during interviews and help us see your expertise in action.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your knowledge of OLTP & OLAP environments, DataOps, and CI/CD. We want to see you shine when discussing your approach to data modelling and architecture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Architect in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the key skills mentioned in the job description. Highlight your experience with data architecture, Snowflake, and any relevant AI platforms to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Senior Data Architect role. Share specific examples of your past work that align with our needs, especially around DataOps and stakeholder engagement.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! If you’ve worked on projects involving OLTP & OLAP environments or have experience with MLOps, make sure to include those details to stand out.
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’re considered for this exciting opportunity!
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 mention it, as it could set you apart from other candidates.
