Amazon Web Services (AWS) is seeking experienced and motivated Data and AI Solutions Architects to partner with enterprise customers in their journey to become data-driven organizations. In this highly technical and customer-facing role, you will engage directly with customers to understand their business drivers, assess data and analytics needs, and design reliable, cost-effective, and scalable cloud architectures on AWS for data, analytics, and AI workloads. As a trusted customer advocate, you will help organizations understand best practices around advanced data, analytics, and AI solutions on the cloud. You will provide strategic guidance on migrating existing data and analytics workloads to the cloud, as well as implementing new AI and machine learning models. You will build deep relationships with senior technical leaders and data stakeholders to enable them as cloud advocates within their companies.

A core responsibility is educating customers on the value proposition of AWS's data, analytics, and AI services through training sessions, deep architectural discussions, and cloud acceleration programs. You will drive revenue growth by formulating and executing sales strategies in partnership with the AWS Sales team, focusing on data, analytics, and AI opportunities. This involves mobilizing internal AWS resources and the partner ecosystem to ensure successful implementation of data platforms, analytics solutions, and AI/ML models on AWS. Additionally, you will capture and share best practice knowledge across AWS, including authoring customer-facing content like whitepapers and blog posts.

The ideal candidate has a passion for cloud computing and data-driven technologies, with a proven track record in data engineering, data architecture, analytics, or AI/ML solutions. You must be broadly competent across data platforms, data engineering, analytics, and machine learning, with deep expertise in at least two of these areas. The ability to connect data, analytics, and AI solutions to measurable business value is critical. Strong interpersonal skills are required to effectively communicate with all customer stakeholders, including data engineers, data scientists, analysts, and business leaders.

Key job responsibilities
• Self-motivated with an entrepreneurial spirit to have fun while making history in the data and AI space.
• Excited to work closely with enterprise customers on their data and AI transformation journeys.
• Expertise in designing and architecting large-scale, distributed data platforms, analytics solutions, and AI/ML models.
• Hands-on experience with AWS data, analytics, and AI/ML services or equivalent cloud platforms.
• Fluently communicate with customers at all levels, including data stakeholders, boardrooms, and peers, evolving to the "trusted advisor" for data, analytics, and AI.
• Ability to think strategically about complex technical and business challenges related to data, analytics, and AI.
• Build deep relationships to become a customers' trusted advisor for their critical data, analytics, and AI workloads.
• Drive business engagements to develop technical strategies for migrating and implementing data platforms, analytics solutions, and AI/ML models on the cloud.
• Educate customers on the value proposition of AWS's data, analytics, and AI services, and participate in deep architectural discussions to ensure they design solutions for resiliency, security, and cost optimization.
• Collaborate across AWS teams to drive and shape new data, analytics, and AI solutions and mechanisms for repeatable customer business outcomes.
• Represent and promote AWS's data, analytics, and AI capabilities within the enterprise community.
• Assist Partners in designing and implementing large-scale data, analytics, and AI solutions.
• Capture and share best-practice knowledge for deploying, running, and managing data, analytics, and AI workloads on AWS.
• Contribute to AWS internal and customer-facing publications, such as whitepapers and blogs, on data, analytics, and AI topics, as a means of scaling your knowledge.
• Influence cloud services roadmap for data, analytics, and AI, by acting as a liaison between customers, service engineering teams, and support to address customer needs.


A day in the life
In this role, your typical day will involve partnering with enterprise customers, AWS Sales teams, and internal AWS data and AI specialists to design and implement highly scalable, flexible, and resilient cloud architectures for data, analytics, and AI workloads. You will link your deep expertise in data engineering, analytics, and machine learning to tangible business solutions, defining and creating cloud-native reference architectures that accelerate customers' digital transformation and unlock the power of their data.

A core part of your role is acting as a trusted customer advocate, helping organizations understand best practices for cloud-based data, analytics, and AI solutions. You will shape strategies to build mindshare and broaden the use of AWS's data, analytics, and AI services across customer organizations, utilizing your ability to think strategically about business objectives, data challenges, and technical complexities. Your creativity will be channeled into developing new architectural patterns, best practices, and technical content focused on data, analytics, and AI on AWS. You will author whitepapers, code samples, blog posts, and more to share your expertise across AWS and the broader data community. You will evangelize AWS's data, analytics, and AI capabilities through workshops, user groups, public speaking engagements, online videos, and conferences. Your day will strike a balance between customer meetings, working on data, analytics, and AI solutions, continuous learning, and knowledge sharing.

The AWS Solutions Architecture team provides an open environment with self-paced learning, instructor-led training, hands-on projects, job shadowing, and mentoring opportunities to expand your expertise in AWS's data, analytics, and AI services. You'll bring an insatiable curiosity to understand the latest data-driven technologies and achieve outcomes that delight customers and unlock the value of their data.

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
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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 in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

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- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

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