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- Tasks: Lead the design of a modern cloud data platform and mentor data engineering teams.
- Company: Fast-growing EdTech organisation transforming education through technology.
- Benefits: Competitive salary of £125k, fully remote work, and career development opportunities.
- Other info: Join a vibrant team dedicated to innovation in education technology.
- Why this job: Shape the data strategy for a dynamic SaaS ecosystem impacting educators and learners.
- Qualifications: Experience in data architecture and leadership skills in data engineering.
The predicted salary is between 125000 - 125000 £ per year.
Oliver Bernard is seeking a Lead Data Architect to spearhead the data architecture for a fast-growing EdTech organization in the UK. In this senior role, you will define and deliver the enterprise data architecture, lead the design of a modern cloud data platform, and mentor data engineering teams.
The position offers a competitive salary of £125k per year and is remote, making it an exciting opportunity to shape the data strategy for a dynamic SaaS ecosystem used by educators and learners alike.
Lead Data Architect AI – Remote UK – EdTech Platform in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect AI – Remote UK – EdTech Platform in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the EdTech space on LinkedIn or attend virtual meetups. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those related to data architecture and cloud platforms. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. We recommend practising with a friend or using mock interview platforms 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 noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Architect AI – Remote UK – EdTech Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Architect role. Highlight your experience with data architecture and cloud platforms, as well as any mentoring you've done. 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 explain why you're passionate about EdTech and how you can contribute to our mission. We love seeing genuine enthusiasm for what we do at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in data architecture and cloud solutions. We’re keen to see what you’ve accomplished!
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. Let’s get started on this journey together!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Inside Out
As a Lead Data Architect, you’ll need to demonstrate a deep understanding of data architecture principles. Brush up on your knowledge of cloud data platforms and be ready to discuss how you've successfully implemented these in previous roles.
✨Showcase Your Leadership Skills
This role involves mentoring data engineering teams, so be prepared to share examples of how you've led teams in the past. Highlight specific instances where your leadership made a difference in project outcomes or team dynamics.
✨Align with Their Vision
Research the EdTech organisation and understand their mission and values. Be ready to articulate how your experience aligns with their goals and how you can contribute to shaping their data strategy.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and architectural design capabilities. Practice explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders.