Sr. Specialist Analytics Solutions Architect, Amazon Web Services, WWPS Slg - edu Data And AI Specialists

Senior Analytics Specialist Solutions Architect (SSA)

Do you enjoy solving complex data challenges using the latest cloud technologies? Are you passionate about helping organizations transform through analytics, AI, and modern data architectures? Do you thrive in dynamic environments, working directly with customers to design, build, and launch impactful solutions? If so, we want to talk to you. AWS is looking for a Senior Analytics Specialist Solutions Architect (SSA) to join our Worldwide Public Sector (WWPS) Solutions Architecture team. In this role, you will work with government, education, and nonprofit customers to unlock the power of their data using AWS services. You will help them modernize legacy systems, build cloud-native analytics platforms, and accelerate innovation through scalable, secure, and intelligent data solutions. As an SSA, you will serve as a technical leader, builder, and trusted advisor. You'll partner with AWS field teams, service teams, and technology and consulting partners to deliver prototypes, workshops, technical assets, and reference architectures. Your work will drive customer success, enable scale, and shape AWS's analytics and AI strategy in the public sector.

Key Job Responsibilities

• Lead technical engagements focused on data lakes, data warehousing, real-time analytics, and AI/ML use cases.
• Deliver proof-of-concepts and workshops that demonstrate the value of AWS analytics and GenAI services.
• Collaborate with CxOs, developers, data scientists, and IT leaders to design scalable, secure, and cost effective data architectures.
• Influence product and roadmap decisions by representing customer needs to AWS service teams.
• Create reusable technical content including reference architectures, whitepapers, blog posts, and enablement materials.
• Mentor field solution architects and drive internal enablement across AWS WWPS teams.
• Travel up to 30% to engage with customers and partners.

About the Team

We are the Data and AI Specialist Solutions Architecture team supporting the U.S. State and Local Government and Education (SLG/EDU) segment within AWS's Worldwide Public Sector. Our mission is to help public sector customers harness the power of data, analytics, and generative AI to drive innovation, improve operational efficiency, and enhance constituent outcomes. We are passionate about enabling meaningful digital transformation and building solutions that align with our customers' missions to better serve communities across the country.

About AWS

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. 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

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.

Basic Qualifications

• 8+ years of experience in data & analytics, software development, or cloud infrastructure.
• 3+ years of experience designing and implementing analytics or data platforms.
• Deep expertise in cloud data services such as data lakes, data warehouses, big data, search, and streaming.
• Experience with architecture and migration of large-scale data solutions to the cloud.

Preferred Qualifications

• 5+ years of infrastructure architecture, database architecture and networking experience.
• Familiarity with GenAI, AI/ML tools, and their integration into data platforms.
• Hands-on experience with AWS analytics services (e.g., Redshift, Glue, Athena, Kinesis, QuickSight).
• AWS certification(s) in Data Analytics, Machine Learning, or Solutions Architecture.
• Demonstrated ability to lead technical customer engagements and build lasting relationships.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.