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For Companies At a Glance
- Tasks: Design and implement cutting-edge Data and AI solutions on AWS.
- Company: Join the innovative team at Amazon Web Services (AWS).
- Benefits: Enjoy a diverse culture, mentorship, and work/life balance.
- Why this job: Make a real impact with advanced cloud technologies and drive customer success.
- Qualifications: Knowledge of data engineering, cloud solutions, and programming skills required.
- Other info: Great career growth opportunities in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Data & AI Cloud Architect, AWS Professional Services
Join Amazon Web Services (AWS) as a Data & AI Cloud Architect in the Professional Services (ProServe) team. Drive customer success through cloud architecture, solution design, and delivery.
Responsibilities
- Design, implement, and manage complex, scalable, and secure Data platforms and AI solutions on AWS.
- Provide technical guidance and troubleshooting support throughout project delivery.
- Collaborate with stakeholders to gather requirements and propose effective migration strategies.
- Act as a trusted advisor on industry trends, emerging technologies, and best practices.
- Mentor and train team members, create reusable artifacts, and share knowledge across the organization.
Qualifications
- Knowledge of data engineering pipelines, cloud solutions, ETL, databases, visualizations, and analytical platforms.
- Experience leading architecture and design of new and existing systems, or experience as a tech lead, mentor, or engineering lead.
- Bachelor\’s degree in computer science, engineering, mathematics, or equivalent.
- Proficiency in at least one programming language (Python, Java, Scala, etc.) and SQL.
- Experience of leading large and complex Data/AI programs for enterprise customers.
- Experience with AWS solutions (EC2, S3, Redshift, EMR, etc.) and AI solution deployment at scale.
- Advanced automation scripting skills, advanced SQL skills, and knowledge of security and operations domains.
Benefits
AWS offers a diverse and inclusive culture, mentorship and career growth opportunities, work/life balance, global services expertise, and innovative AI and cloud solutions.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation, please visit https://amazon.jobs/content/en/how-we-hire/accommodations.
Location: London, England, United Kingdom
Employment type: Full‑time
Job ID: A3105880
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Data & AI Cloud Architect, AWS Professional Services employer: Amazon Web Services (AWS)
Contact Detail:
Amazon Web Services (AWS) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Cloud Architect, AWS Professional Services
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with AWS professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data platforms and AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to cloud architecture and data engineering, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the AWS team.
We think you need these skills to ace Data & AI Cloud Architect, AWS Professional Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data & AI Cloud Architect role. Highlight your experience with AWS solutions and data engineering pipelines, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about cloud architecture and AI solutions. Share specific examples of how you've driven customer success in previous roles, as this will resonate with our team.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in programming languages and SQL. We want to see how you’ve applied these skills in real-world scenarios, especially in leading complex Data/AI programs.
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’s super easy!
How to prepare for a job interview at Amazon Web Services (AWS)
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like EC2, S3, and Redshift. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with data engineering pipelines and ETL processes. Have specific examples ready that demonstrate your ability to design and implement scalable data platforms, as this will be crucial for the role.
✨Be a Problem Solver
During the interview, expect scenario-based questions where you'll need to troubleshoot issues or propose migration strategies. Practice articulating your thought process clearly, as they’ll want to see how you approach complex problems.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring and collaborating with stakeholders, be prepared to share experiences where you've successfully led teams or trained others. Highlight your communication skills and how you foster a collaborative environment.
