Senior Data & AI Cloud Architect, AWS Professional Services
Senior Data & AI Cloud Architect, AWS Professional Services

Senior Data & AI Cloud Architect, AWS Professional Services

Manchester Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement AWS solutions while guiding customers through their cloud journey.
  • Company: Join Amazon Web Services, the leading cloud platform trusted by startups and Global 500 companies.
  • Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture that values diversity and inclusion.
  • Why this job: Be part of a dynamic team driving innovation and customer success in cloud computing.
  • Qualifications: 5+ years in Data/AI programs, proficiency in programming languages, and hands-on leadership experience required.
  • Other info: Diverse experiences are welcomed; apply even if you don't meet all qualifications.

The predicted salary is between 43200 - 72000 £ per year.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities

  • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  • Providing technical guidance and troubleshooting support throughout project delivery
  • Collaborating with stakeholders to gather requirements and propose effective migration strategies
  • Acting as a trusted advisor to customers on industry trends and emerging technologies
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Basic Qualifications

  • Experience in leading large and complex Data/AI programs for enterprise customers.
  • Deep understanding of building and/or running enterprise grade Data/AI platforms, including working knowledge of ETL, data governance, streaming architectures, Open Table Formats, etc.
  • Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.) plus SQL.
  • CI/CD experience and working knowledge of API development.
  • Ability to lead technical teams and facilitate discussions regarding technical/architectural trade-offs, best practices and risk mitigation.
  • Bachelor's degree in Computer Science, Engineering, Maths or related field with 5+ years experience.

Preferred Qualifications

  • Full-stack development experience e.g. React/Angular and integration with backend.
  • AWS experience or working knowledge of AWS partner solutions like Databricks or Snowflake.
  • Expertise of implementing GenAI in production including LLMs, RAG architectures, vector databases.
  • Experience with automation and scripting (e.g., Terraform, Python).
  • Knowledge of security and compliance standards (e.g., HIPAA, GDPR).

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Senior Data & AI Cloud Architect, AWS Professional Services employer: Amazon Web Services (AWS)

At Amazon Web Services (AWS), we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through extensive mentorship opportunities and resources designed to help you advance your career in the rapidly evolving cloud technology landscape. Located in Manchester, our inclusive environment encourages diverse perspectives, ensuring that every team member feels valued and empowered to contribute to our mission of driving customer success.
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Contact Detail:

Amazon Web Services (AWS) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data & AI Cloud Architect, AWS Professional Services

✨Tip Number 1

Familiarise yourself with AWS services and solutions, especially those related to Data and AI. Understanding the latest trends and tools in these areas will help you engage in meaningful conversations during interviews.

✨Tip Number 2

Network with current AWS professionals or join relevant online communities. This can provide insights into the company culture and expectations, plus you might get tips on the interview process from insiders.

✨Tip Number 3

Prepare to discuss your hands-on experience with complex data architectures and migration strategies. Be ready to share specific examples of how you've successfully implemented AWS solutions in past roles.

✨Tip Number 4

Showcase your leadership skills by preparing examples of how you've led technical teams or projects. Highlighting your ability to facilitate discussions around architectural trade-offs will demonstrate your fit for this senior role.

We think you need these skills to ace Senior Data & AI Cloud Architect, AWS Professional Services

AWS Solutions Architecture
Data Engineering
AI/ML Implementation
ETL Processes
Data Governance
Streaming Architectures
Open Table Formats
Programming Proficiency (Python, Java, Scala)
SQL Expertise
CI/CD Practices
API Development
Technical Team Leadership
Risk Mitigation Strategies
Full-Stack Development (React/Angular)
Cloud Migration Strategies
GenAI Implementation
Vector Databases
Automation and Scripting (Terraform, Python)
Security and Compliance Standards Knowledge (HIPAA, GDPR)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in leading Data/AI programmes and your proficiency in AWS solutions. Use specific examples that demonstrate your ability to design and implement complex, scalable, and secure AWS solutions.

Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud technology and how your skills align with the role. Mention your experience with programming languages and CI/CD processes, and how you can contribute to customer success at AWS.

Showcase Technical Expertise: Be explicit about your technical skills in your application. Include your knowledge of ETL, data governance, and any experience with automation tools like Terraform or Python. This will help demonstrate your fit for the role.

Highlight Leadership Experience: Since this is a hands-on leadership role, emphasise your experience in leading technical teams and facilitating discussions on architectural trade-offs. Provide examples of how you've mentored others or shared knowledge within your previous roles.

How to prepare for a job interview at Amazon Web Services (AWS)

✨Showcase Your Technical Expertise

As a Senior Data & AI Cloud Architect, it's crucial to demonstrate your deep understanding of AWS products and services. Be prepared to discuss specific projects where you've designed and implemented complex AWS solutions, highlighting your technical skills in areas like ETL, data governance, and programming languages.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving abilities. Think about past experiences where you had to gather requirements, propose migration strategies, or troubleshoot issues during project delivery. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

✨Emphasise Collaboration Skills

Collaboration is key in this role, so be ready to discuss how you've worked with stakeholders in previous positions. Share examples of how you facilitated discussions regarding technical trade-offs and best practices, showcasing your ability to lead technical teams effectively.

✨Stay Updated on Industry Trends

Being a trusted advisor means staying informed about industry trends and emerging technologies. Research recent developments in cloud computing, AI, and data management, and be prepared to share your insights during the interview. This will demonstrate your commitment to continuous learning and innovation.

Senior Data & AI Cloud Architect, AWS Professional Services
Amazon Web Services (AWS)
Location: Manchester
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