IT Data Architect

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Data and GenAI Architect to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS data-driven and AI 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, with a specific focus on data architecture, AI/ML implementations, and generative AI solutions.

Possessing a deep understanding of AWS products and services, as a Data and GenAI Architect you will be proficient in architecting complex, scalable, and secure data platforms and AI solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current data infrastructure, and propose effective strategies for implementing modern data architectures and GenAI solutions on AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging AI technologies, and innovative data 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, with particular emphasis on data modernization and AI transformation. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs

Providing technical guidance and troubleshooting support throughout project delivery

Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

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 Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

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.

AWS values curiosity and connection. 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.

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.

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. 5+ years experience in Data Lake implementation, including Hadoop/Spark expertise;

• Demonstrated expertise in GenAI, including LLMs, RAG architectures, vector databases, and production deployment experience;
• Strong software development skills in multiple languages (Java, Python, R) with extensive ETL and data management experience;
• and SQL-on-Hadoop technologies (Hive, Spark SQL) with proven experience in Massively Parallel Processing (MPP) architectures
• Strong track record in implementing large-scale data warehousing
• Strong track record in MLOps/LLMOps implementation and AI governance