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For Companies At a Glance
- Tasks: Design and implement a modern cloud-native data landscape for large-scale transformation.
- Company: Global tech leader focused on innovative AI solutions.
- Benefits: Flexible working, competitive pay, and opportunities for professional growth.
- Why this job: Lead transformative projects and shape the future of AI in a dynamic environment.
- Qualifications: Experience in GCP architecture and strong leadership skills.
- Other info: Contract role with a global remit and outside IR35.
The predicted salary is between 54000 - 90000 £ per year.
Lead AI GCP Data Architect – Contract
Contract: 6 months initial engagement
IR35: Outside IR35
Rate: DOE
Location: Global remit (flexible base)
The Role
We\’re looking for a Lead AI GCP Data Architect to design and drive a modern, cloud-native data landscape that underpins large-scale transformation. This role blends strategy with hands-on delivery, ensuring platforms, pipelines, and governance framew…
Lead AI GCP Architect employer: Hourly Jobs Near Me
Contact Detail:
Hourly Jobs Near Me Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI GCP Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and GCP space. 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 related to cloud-native data landscapes. We want to see your hands-on experience, so include case studies or examples of how you've driven transformation in past roles.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and strategic aspects of the role. We recommend practising common interview questions and scenarios that relate to designing data architectures. Be ready to discuss how you would approach real-world challenges!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace Lead AI GCP Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI GCP Data Architect role. Highlight your cloud-native data landscape experience and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've driven transformation in previous positions, especially in relation to GCP and AI.
Showcase Your Technical Skills: Don’t forget to include your technical expertise in GCP, data architecture, and governance frameworks. We want to see how you can blend strategy with hands-on delivery, so be specific!
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 without any hiccups!
How to prepare for a job interview at Hourly Jobs Near Me
✨Know Your GCP Inside Out
Make sure you’re well-versed in Google Cloud Platform (GCP) services, especially those related to data architecture. Brush up on your knowledge of BigQuery, Dataflow, and Pub/Sub, as these are likely to come up in conversation.
✨Showcase Your Strategic Thinking
Prepare to discuss how you’ve previously designed cloud-native data landscapes. Be ready to share specific examples where your strategic decisions led to successful transformations, highlighting both the challenges faced and the solutions implemented.
✨Hands-On Experience Matters
Since this role blends strategy with hands-on delivery, be prepared to talk about your practical experience. Bring examples of projects where you’ve built data pipelines or implemented governance frameworks, and explain your role in those projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current data landscape and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
