At a Glance
- Tasks: Design scalable Data & AI solutions and lead delivery for clients using Microsoft technologies.
- Company: Leading technology consulting firm with a focus on innovation.
- Benefits: Flexible working arrangements, career development opportunities, and remote work.
- Why this job: Shape the future of Data & AI while collaborating with talented engineering teams.
- Qualifications: Strong software engineering skills and experience with Azure services.
- Other info: Exciting role with opportunities for professional growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology consulting firm is seeking a Data & AI Solutions Architect to design scalable and secure Data & AI solutions using Microsoft technologies. This remote role will involve client discovery, architecture design, and delivery leadership while fostering collaboration within engineering teams.
Ideal candidates will have:
- Strong software engineering skills
- Experience in Azure services
- Client-facing consulting expertise
The position offers career development opportunities and flexible working arrangements.
Azure Data & AI Architect — Remote Lead Delivery employer: Nasstar
Contact Detail:
Nasstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data & AI Architect — Remote Lead Delivery
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure and AI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to Data & AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Azure services and client consulting. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 Azure Data & AI Architect — Remote Lead Delivery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure services and software engineering skills. We want to see how your background aligns 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 & AI solutions and how your client-facing experience makes you a great fit for our team. Let us know what excites you about this role!
Showcase Your Collaboration Skills: Since this role involves working closely with engineering teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories with us!
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 don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Nasstar
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services. Be prepared to discuss specific projects where you've designed scalable solutions using Azure. This will show that you not only understand the technology but can also apply it effectively.
✨Showcase Your Client-Facing Skills
Since this role involves client discovery, be ready to share examples of how you've successfully engaged with clients in the past. Highlight your ability to understand their needs and translate them into technical solutions.
✨Demonstrate Leadership in Delivery
Prepare to talk about your experience leading delivery teams. Discuss how you've fostered collaboration within engineering teams and any challenges you've overcome in delivering projects on time and within budget.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to Data & AI solutions and their team dynamics. This shows your genuine interest in the role and helps you assess if it's the right fit for you.