> Markdown version of [/jobs/ext/4587704-sr-solutions-architect-data-ai-and-analytics-specialist-aspi-hcls-specialist](https://www.wearedevelopers.com/jobs/ext/4587704-sr-solutions-architect-data-ai-and-analytics-specialist-aspi-hcls-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Solutions Architect - Data, AI, and Analytics Specialist, ASPI HCLS Specialist - **Company:** Amazon.com, Inc. - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $153,600 - $207,800 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Systems Engineering, Cloud Computing, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Performance Tuning, Software Engineering, Data Streaming, Generative AI, Data Lakes, AWS Lake Formation, AWS Glue, Data Analytics, Data Pipelines, Amazon Elastic Mapreduce (EMR), Amazon Redshift - **Published:** November 5, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28162189/Sr-Solutions-Architect-Data-Ai-Analytics-Specialist-Aspi-Hcls-Specialist-Massachusetts-Boston-7375 ## About the Role 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, 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) ## Description 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.