Sr. Solutions Architect – Data, AI, and Analytics Specialist, ASPI HCLS Specialist

Are you an experienced presales Solutions Architect with deep expertise in data, AI, and analytics? We are seeking a Senior Solutions Architect who can use their strong business acumen and superior technical skills to drive data, analytics, and AI conversations with some of our largest AWS customers. They’ll work directly with cloud customers from our Healthcare & Life Sciences (HCLS) vertical to architect savvy solutions to complex technical problems, translating business requirements into scalable architectures that are grounded in AWS best practices.

Our Solutions Architecture team is dedicated to helping customers achieve their business goals through thoughtful, well-architected technology solutions. We work closely with sales, engineering, and professional services teams to deliver outcomes that matter. We are a collaborative group that values knowledge-sharing, continuous learning, and creative problem-solving. If you are excited about working with customers across industries, tackling new technical challenges, and contributing to a team that is always learning and growing, this is the place for you.


Key job responsibilities
• Design and architect end-to-end analytics solutions for customers in our Healthcare and Life Sciences (HCLS) vertical that are secure, reliable, performant, and cost-optimized
• Lead technical discussions with customers, diving deeply into data, AI, and analytics solutions (e.g. data warehousing, data lakes, ETL/ELT pipelines, BI, or real-time streaming), clearly articulating short-term and long-term implications
• Translate business requirements into technical solutions that address the customer’s unique challenges in the competitive analytics landscape
• Drive assessments, performance optimization engagements, and architecture reviews - applying technical judgment to evaluate trade-offs in scalability, reliability, cost optimization, and operational excellence
• Provide strategic guidance to customers through 1:1 advisory sessions and 1:many enablement workshops, driving analytics service adoption and ultimately revenue growth, by contributing to go-to-market strategy and creating reusable technical content (reference architectures, best practices)
• Collaborate with cross-functional teams including sales, product, and engineering to gather customer feedback, influence analytics service roadmaps, and ensure customer requirements are translated into actionable product enhancements
• Stay current with emerging trends in Data, Analytics, and Generative Artificial Intelligence (GenAI) technologies in order to help customers innovate and maintain competitive advantage


A day in the life
You might start your morning reviewing an architecture design with a customer's engineering team, working through trade-offs around scalability and operational readiness. After that, you could lead a proof-of-concept session to validate a proposed solution approach. In the afternoon, you may collaborate with internal partners to refine a reference architecture based on lessons learned from a recent engagement, then wrap up by mentoring a teammate on a complex design challenge.

About the team
Our Solutions Architecture team is dedicated to helping customers achieve their business goals through thoughtful, well-architected technology solutions. We work closely with sales, engineering, and professional services teams to deliver outcomes that matter. We are a collaborative group that values knowledge-sharing, continuous learning, and creative problem-solving. If you are excited about working with customers across industries, tackling new technical challenges, and contributing to a team that is always learning and growing, this is the place for you.

About AWS
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
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. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience architecting analytics or data platform solutions (e.g. data warehousing, data lakes, ETL pipelines, BI, or real-time streaming)
- Skilled and experienced in design, implementation, or consulting in applications and infrastructures
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

Preferred qualifications

- 6+ years of experience in a solutions architecture function, preferably with a focus in infrastructure, analytics, AI, and/or networking
- AWS Certifications: AWS Database Specialty, AWS Solutions Architect Professional, or equivalent certifications.
- Experience with analytics services or similar (Amazon S3, AWS Glue, AWS Lake Formation, Amazon Redshift, Amazon Athena, Amazon EMR, AmazonQuick)

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, Boston - 153,600.00 - 207,800.00 USD annually
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually