Specialist Solutions Architect – Database, Data & AI Specialist; AWS

Worldwide Specialist Solutions Architect – Database, Data & AI Specialist

Job :  | AWS EMEA SARL (UK Branch)

Are you passionate about building applications with No

SQL databases? Amazon Web Services is looking for an experienced No

SQL Solutions Architect to work directly with AWS customers to design cloud‑based No

SQL solutions using Amazon DynamoDB, a scalable and highly available server‑less No

SQL database, designed for mission‑critical applications. You will have the opportunity to work with prominent startups and large enterprises, helping them architect scalable No

SQL solutions using Amazon DynamoDB.

You will dive deep into the details of customer problems and work with internal AWS service teams to create solutions that solve customer needs. You will partner with AWS sales, business development, solutions architecture, and product teams to develop the internal expertise needed to grow DynamoDB‑related revenue.

• Collaborate with AWS field sales, pre‑sales, training and support teams to help customers learn about and use DynamoDB.
• Provide definitive guidance for customers in choosing the right database services and approaches.
• Be a trusted collaborator for the DynamoDB service team as the voice of the customer for defining and prioritizing service features.
• Lead enablement by training Solutions Architects, Professional Services Consultants, and Technical Account Managers.
• Capture and share best‑practice knowledge with customers and the worldwide AWS solutions architect community.
• Contribute to the AWS Database Blog, service documentation, and reference architectures.
• Present at industry events to educate customers and evangelize AWS and DynamoDB.

As a DynamoDB Specialist Solutions Architect, you work alongside a team of No

SQL specialists spanning Document DB, Neptune, Keyspaces, Elasti Cache, and MemoryDB. Together, you help customers design purpose‑built database architectures – and increasingly, that means powering the next generation of agentic AI applications.

Your work centers on customer engagements where DynamoDB plays a critical role in modern architectures. You might spend part of your day designing a session and memory store for an autonomous AI agent framework, ensuring conversation state, tool‑use history, and retrieval context persist at scale with single‑digit millisecond latency. You collaborate with your Neptune colleague on the knowledge graph layer while you own the fast‑access transactional tier that keeps agents responsive and stateful.

Other engagements are just as varied. One customer needs a multi‑tenant SaaS platform with complex access patterns. Another is building an event‑driven pipeline where DynamoDB Streams feed downstream AI orchestration. In each case, you design partition strategies, define GSI patterns, and articulate why DynamoDB fits this part of the architecture while a different No

SQL engine serves another.

You also translate deep technical expertise into broader impact – building reference architectures, presenting to engineering leadership, and contributing to internal enablement across the specialist team. You share patterns across database boundaries, offering partition key insights to a Keyspaces engagement or reviewing a Document DB schema with fresh eyes.

The common thread is helping customers choose the right database for each workload, use it well, and build architectures ready for what comes next – whether that’s agentic AI, real‑time personalization, or massive‑scale IoT.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee‑led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences, conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

• Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
• Experience in IT…