Data & AI Cloud Architect
@ Amazon Web Services (AWS)

London, England, United Kingdom
$150,000
On Site
Full Time
Posted 2 days ago

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Job Details

Overview

The Data & AI Cloud Architect at Amazon Web Services (AWS) is a role within the Professional Services (ProServe) team. In this position, you will work closely with customers to design, implement, and manage AWS solutions that meet technical requirements and business objectives.

Responsibilities

The role involves architecting complex, scalable, and secure Data and AI solutions tailored for each customer. You will:

  • Design and implement 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 and emerging technologies.
  • Mentor team members, share knowledge, and create reusable artifacts.

About AWS and the Team

AWS Professional Services offers expertise to help customers realize their business outcomes on the AWS Cloud. The team works globally with customers and partners to execute and optimize enterprise cloud initiatives. The role provides exposure to a diverse set of AWS solutions and collaborative projects with cross-functional teams.

Qualifications

Basic Qualifications: Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, and analytics. Proven experience leading the design of scalable systems, a bachelor’s degree in a technical field, and proficiency in programming and SQL.Preferred Qualifications: Experience with full application stacks, REST API services, AWS services (EC2, S3, Redshift, EMR), AI product management at scale, and expertise in scripting (Python) and advanced SQL.

Key skills/competency

Data Engineering, Cloud Architecture, AWS, AI, Scalability, Security, ETL, Mentoring, Troubleshooting, Migration

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How to Get Hired at Amazon Web Services (AWS)

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills to AWS requirements.
  • Highlight relevant projects: Showcase scalable cloud architecture experience.
  • Network on LinkedIn: Connect with AWS professionals.
  • Prepare case studies: Demonstrate problem solving in cloud projects.

📝 Interview Preparation Advice

Technical Preparation

Review AWS architecture best practices.
Practice hands-on labs with AWS services.
Study design patterns for scalable solutions.
Refresh your programming and SQL skills.

Behavioral Questions

Describe a challenging project teamwork scenario.
Explain how you manage stakeholder expectations.
Discuss a time you led a technical solution.
Share an experience mentoring team members.

Frequently Asked Questions