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# Sr. Specialist SA - Database, Data & AI, ASPI HCLS Specialist

- **Company:** Amazon.com, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $153,600.0 - $207,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Cloud Computing, Databases, Couchbase Servers, Data Infrastructure, Relational Databases, Amazon DynamoDB, PostgreSQL, MariaDB, Microsoft SQL Server, MongoDB, MySQL, Neo4j, NoSQL, Open Source Technology, Oracle (Applications), Performance Tuning, Redis, Software Engineering, Database Engines, Amazon ElastiCache, IT Architecture, Generative AI, Cloudformation, Database Migration, Information Technology, Cassandra, Data Analytics, Non-relational Database, Terraform
- **Published:** August 31, 2026
- **Apply:** https://dejobs.org/x/x/76628C1FDEC841EF968B49A8057E040E/job/

## About the Role

* 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
 * 3+ years of design, implementation, or consulting in applications and infrastructures experience
 * 10+ years of IT development or implementation/consulting in the software or Internet industries experience
 * Commercial relational databases (e.g., Oracle, SQL Server)
 * Non-relational databases (e.g., MongoDB, Cassandra, DynamoDB, ElastiCache, Redis, Couchbase, Neptune, Neo4j), * 5+ years of infrastructure architecture, database architecture and networking experience
 * Data modeling: Strong skills in relational data modeling, NoSQL data modeling patterns (e.g., single-table design for DynamoDB), and choosing the right database for the right workload.
 * Generative AI fluency: Understanding of how databases integrate with GenAI workloads.
 * Infrastructure as Code: Experience with Terraform, CloudFormation, or CDK for database infrastructure automation.
 * AWS Certifications: AWS Database Specialty, AWS Solutions Architect Professional, or equivalent certifications.

## Description

Do you want to help Healthcare and Life Sciences organizations transform their most critical data workloads in the cloud? AWS is seeking a Sr. Database Specialist Solutions Architect to serve as a trusted technical advisor to Healthcare and Life Science customers embarking on complex database migration and modernization journeys. In this role, you'll combine deep technical expertise in relational and non-relational database technologies with customer-facing consulting skills to architect solutions that drive measurable business outcomes., * Design and architect end-to-end database solutions for HCLS customers, leading technical discussions on complex migration and modernization strategies across commercial relational databases (e.g., Oracle, SQL Server), open-source relational databases (e.g., PostgreSQL, MySQL, MariaDB), NoSQL services (e.g., DynamoDB, DocumentDB), and specialized database engines (e.g., Neptune, ElastiCache)

 * Lead complex database migration assessments, performance optimization engagements, and architecture reviews, applying technical judgment to evaluate trade-offs in scalability, reliability, cost optimization, and operational excellence
 * Provide strategic technical guidance to customers through 1:1 advisory sessions and 1:many enablement workshops, translating business requirements into technical solutions that address their unique challenges in the competitive database landscape
 * Drive database service adoption and revenue growth by contributing to go-to-market strategy, creating reusable technical content (workshops, reference architectures, best practices), and mentoring field Solutions Architects through office hours and knowledge sharing
 * Collaborate with cross-functional teams including sales, product, and engineering to gather customer feedback, influence database service roadmaps, and ensure customer requirements are translated into actionable product enhancements
 * Stay current with emerging trends in Database, Analytics, and Generative Artificial Intelligence technologies to help customers innovate and maintain competitive advantage.


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