At a Glance
- Tasks: Design and implement AWS solutions, 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 of inclusion.
- Why this job: Be part of a diverse 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: AWS values diverse experiences; all backgrounds are encouraged to apply.
The predicted salary is between 48000 - 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 will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You will 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 will 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
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Centre. You will join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
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. This includes 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 facilitating discussions regarding technical/architectural trade-offs, best practices and risk mitigation. This is a hands-on leadership role.
- 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).
Contact Detail:
ENGINEERINGUK 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. Understanding the specific tools and technologies that AWS offers will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with current AWS professionals or join relevant online communities. Engaging with others in the field can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience with Data/AI projects in detail. Be ready to share specific examples of how you've led complex programmes and the impact they had on your previous employers.
✨Tip Number 4
Stay updated on industry trends and emerging technologies related to cloud computing and AI. Being knowledgeable about the latest advancements will position you as a thought leader and a valuable asset to the AWS team.
We think you need these skills to ace Senior Data & AI Cloud Architect, AWS Professional Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data and AI, particularly with AWS solutions. Use specific examples of projects you've led or contributed to that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud technology and how your skills can contribute to AWS's mission. Mention any specific experiences that demonstrate your ability to design and implement complex AWS solutions.
Showcase Technical Skills: Clearly list your technical skills, especially those mentioned in the job description such as programming languages, CI/CD experience, and knowledge of security standards. Provide context on how you've applied these skills in previous roles.
Highlight Leadership Experience: Since this is a hands-on leadership role, emphasise your experience in leading technical teams and facilitating discussions. Include examples of how you've managed risks and made architectural decisions in past projects.
How to prepare for a job interview at ENGINEERINGUK
✨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 and problem-solving abilities.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to architect scalable and secure solutions. Practice articulating your thought process when faced with challenges, such as migrating existing infrastructure to AWS or optimising performance while managing risks.
✨Emphasise Collaboration Skills
Collaboration is key in this role. Be ready to share examples of how you've worked with stakeholders to gather requirements and propose effective migration strategies. Highlight your experience in leading technical teams and facilitating discussions on best practices.
✨Stay Updated on Industry Trends
As a trusted advisor, you should be knowledgeable about industry trends and emerging technologies. Research recent developments in cloud computing, AI, and data management, and be prepared to discuss how these trends can impact customer success during the interview.