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- Tasks: Define and govern enterprise-grade data architecture for large-scale data platforms.
- Company: Leading tech firm focused on innovative data solutions.
- Benefits: Competitive rate, hybrid work model, and potential for contract extension.
- Why this job: Shape the future of data architecture in a dynamic environment.
- Qualifications: Proven experience in data architecture and engineering.
- Other info: Exciting opportunity for career growth in a collaborative team.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking an experienced Principal Data Architect to define and govern enterprise grade data architecture across complex, large scale data platforms.
This role sits at the intersection of architecture, data engineering, analytics, and business strategy.
- Contract: Inside IR35
- Location: Warwick, UK (hybrid)
- Rate: Competitive inside IR35
- Duration: Initial 6 months with strong extension potential
Data Architect employer: Gazelle Global Consulting Ltd
Contact Detail:
Gazelle Global Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture field. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your previous projects and achievements in data architecture. Use platforms like GitHub to share your work. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture scenarios. Think about how you would approach complex data problems and be ready to discuss your thought process. We want to see your analytical skills in action!
✨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. Let’s get you that Principal Data Architect role!
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the Principal Data Architect role. Share your passion for data architecture and how you can contribute to our team. Keep it engaging and personal!
Showcase Your Technical Skills: In your application, be sure to mention specific technologies and methodologies you’ve used in previous roles. We’re looking for someone who can navigate complex data platforms, so let us know what tools you’re familiar with!
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 the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Gazelle Global Consulting Ltd
✨Know Your Data Architecture
Make sure you brush up on the latest trends and technologies in data architecture. Be prepared to discuss your experience with large-scale data platforms and how you've governed data architecture in previous roles.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios related to data architecture challenges. Think about how you would approach complex problems and articulate your thought process clearly.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data architecture challenges and future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Highlight Collaboration Experience
As a Principal Data Architect, you'll need to work closely with various teams. Share examples of how you've successfully collaborated with data engineers, analysts, and other stakeholders to achieve common goals.
