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- Tasks: Design and implement scalable data solutions using Google Cloud technologies.
- Company: Leading cloud data consultancy in Harrow with a focus on innovation.
- Benefits: Private health insurance, gym discounts, and professional growth opportunities.
- Why this job: Innovate and drive efficiency in a collaborative environment while mentoring others.
- Qualifications: Experience in data architecture and a passion for cloud technologies.
- Other info: Great opportunity for data professionals looking to make an impact.
The predicted salary is between 54000 - 84000 £ per year.
A leading cloud data consultancy in Harrow seeks a Principal Data Architect to design and implement scalable data solutions using Google Cloud technologies. You will collaborate with various teams to ensure data quality, guide engineers, and develop comprehensive strategies while mentoring others. This role offers a great opportunity for data professionals wanting to innovate and drive efficiency.
Enjoy perks like private health insurance, gym discounts, and professional growth opportunities.
Lead Data Architect for AI & Cloud Platforms in Harrow on the Hill employer: Datatonic
Contact Detail:
Datatonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect for AI & Cloud Platforms in Harrow on the Hill
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and cloud space. Attend meetups or webinars related to AI and Google Cloud technologies. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your previous projects, especially those involving scalable data solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions for data architects. Be ready to discuss your experience with Google Cloud technologies and how you've ensured data quality in past roles. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles like the Lead Data Architect. Plus, you'll be one step closer to enjoying those awesome perks we offer!
We think you need these skills to ace Lead Data Architect for AI & Cloud Platforms in Harrow on the Hill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud technologies and scalable data solutions. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working with various teams, make sure to mention any past experiences where you’ve successfully collaborated. We value teamwork, so let us know how you’ve guided engineers or mentored others!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Datatonic
✨Know Your Google Cloud Inside Out
Make sure you’re well-versed in Google Cloud technologies. Brush up on the latest features and best practices, especially those related to data architecture. Being able to discuss specific tools and how you've used them in past projects will show your expertise.
✨Showcase Your Collaborative Spirit
This role involves working with various teams, so be prepared to discuss your experience in collaboration. Think of examples where you’ve successfully guided engineers or worked cross-functionally to achieve a common goal. Highlighting your teamwork skills can set you apart.
✨Prepare for Technical Questions
Expect to face some technical questions that test your knowledge of data solutions and architecture. Review common scenarios and challenges in data management, and be ready to explain how you would approach them. Practising with mock interviews can help you feel more confident.
✨Emphasise Mentorship Experience
Since mentoring is a key part of this role, come prepared with examples of how you’ve mentored others in the past. Discuss the impact you had on their development and how you fostered a learning environment. This will demonstrate your leadership qualities and commitment to professional growth.
