Senior Data & AI Architect, AWS Professional Services

Overview

Senior Data & AI Architect, AWS Professional Services

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team. In this role, you'll work closely with customers to design and implement solutions to unlock value from Data and AI. 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 services and partner solutions, 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.

Responsibilities

1. Designing and implementing complex, scalable, and secure AWS Data/AI solutions tailored to customer needs
2. Providing technical guidance and support on architectural patterns, tradeoffs and best practices throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective implementation / migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team

Diverse Experiences: 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.

Security & Equal Opportunity

AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Our equal opportunity employer statements remain in effect: Amazon is an equal opportunities employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We protect your privacy and the security of your data in accordance with our Privacy Notice.

Basic Qualifications

• Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
• Experience as a mentor, tech lead or leading an engineering team, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
• Experience in leading large and complex Data/AI programs for enterprise customers

Preferred Qualifications

• Experience in one or more relevant front-end frameworks such as React, Angular, etc.
• Experience architecting/operating solutions built on AWS
• Experience developing, deploying and managing AI products at scale
• Experience in scripting for automation (e.g. Python) and advanced SQL skills
• Knowledge of security best practices

Amazon is an equal opportunity 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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the AWS accommodations page for more information.