Principal, Specialist Solutions Architect, Data, Agentic AI & Analytics, Strategic Accounts

Principal Data & Analytics Specialist Solutions Architect

Do you want to solve the most complex, large-scale data challenges for AWS's most strategic customers? Do you want to shape how organizations build and use data platforms in the era of AI? Come join us.

Amazon Web Services (AWS) offers a comprehensive set of services to handle every step of the Analytics process chain including data warehousing, business intelligence, batch processing, stream processing, log analytics, data workflow orchestration, and a comprehensive set of generative AI services that enable customers to build agentic experiences.

We are looking for a Principal Data & Analytics Specialist Solutions Architect who will serve as the Subject Matter Expert (SME) for helping customers solve complex data challenges and build new capabilities, including agentic experiences. You will partner with Sales Account Managers, Solutions Architects, Business Development Representatives, and AWS Service Teams to drive customer adoption and revenue attainment.

You will develop white papers, blogs, sample code, labs, and presentations to evangelize design patterns and best practices on Analytics and the application of generative AI in the domain. You will mentor and train the broader Solutions Architecture population within AWS, teaching them how to integrate data solutions appropriately into customer architectures on AWS.

Our positive and supportive culture encourages our people to do their best work every day. We have 16 leadership principles that help guide us in our every-day decision making process. We believe they are a clearer articulation of those things that have always been a part of what makes Amazon great – things that we must consciously hold on to in fulfilling our mission to be Earth's Most Customer Centric Company.

We are continuously looking for new ways to maintain a culture where our people excel and lead healthy and happy lives.

The ideal candidate will:

• Be great fun to work with. As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge.
• Enjoy working with customers. You have a passion for educating, training, designing, and building cloud computing systems for some of the world's fastest growing.
• Be Customer Obsessed. At AWS, customer obsession is in our DNA. You will represent the voice of the customer in field engagements with AWS specialist sales, business development, and service teams.
• Be an Architect. As part of a Solutions Architecture team, you produce and validate reference architectures and customer adoption for AWS Data & Analytics services.

Key job responsibilities:

• Designing Data and Analytics solutions. Work with teams at existing and potential customers to deeply understand their business and technical needs. Develop solutions that make the best use of the AWS Cloud and Analytics Services. Collaborate with AWS field sales, training, and support teams to ensure customer success.
• Partnering with account teams, Business Development Managers and Analytics Service teams to accelerate customer adoption and revenue attainment.
• Be the voice of the customer to service engineering teams, providing product improvement feedback to AWS developers and accelerating the adoption of new features in customer deployments.
• Sharing what you know by capturing best-practice knowledge from engineering and field teams, including reference architectures and patterns, with the worldwide AWS solution architect community in order to build a strong worldwide database and analytics community.
• Exhibiting thought leadership. Evangelize AWS Services and Analytics Solutions in the Data and Analytics domain. Share best practices through forums such as AWS blogs, whitepapers, reference architectures and public speaking events such as AWS Summit and AWS re:
  
  Invent.

A day in the life:

You engage with customers' senior technical leaders and decision makers on complex, large-scale data-related topics, including lakehouse architectures, data processing, distributed systems, streaming & messaging, data governance, business intelligence, and search. You…