Solutions Architect HCLS

Key skills

• AWS

Job description

Germany is home to some of the world's most significant pharmaceutical, biotechnology and medical device companies. AWS is looking for a Solutions Architect to work with those enterprises as they build on the cloud.

As a Solutions Architect you are the trusted technical advisor to your customers. You work alongside account teams to understand what our customers are trying to achieve, then design and prove out the architectures that get them there. Life sciences is one of the most demanding environments we work in: drug discovery generates enormous compute and data demands, clinical development runs on tightly governed data, and manufacturing operates under validated, regulated conditions where change is never casual. You will help customers move quickly without compromising any of it.

You do not need a life sciences background to succeed in this role. We are looking for a strong technologist who is curious about the industry and motivated by its impact. We will help you build the domain depth.

Key job responsibilities

• Act as the technical lead for a portfolio of life sciences enterprise customers, partnering with account managers, specialists and partners to shape and deliver their cloud strategy.
• Design and review architectures with customers across the value chain - research and discovery, clinical development, regulated manufacturing, supply chain and commercial.
• Run whiteboarding sessions, architecture deep dives, proofs of concept and AWS Well-Architected reviews.
• Help customers work through data protection, validation and regulatory requirements, and translate them into concrete architectural decisions rather than blockers.
• Build reusable technical assets - reference architectures, demos, workshops, code samples - so a solution you design once benefits many customers.
• Represent the customer inside AWS: capture product gaps and feed them to our service teams to influence the roadmap.
• Share what you learn. Speak at events, write, and contribute to the life sciences technical community inside and outside AWS.

A day in the life

You might start with a research computing team sizing a genomics or molecular simulation workload, spend the middle of the day designing a

clinical data platform with a development organisation, and finish working through what a validated environment means for a manufacturing

analytics project. Some days are heavily customer facing; others are for building, learning and writing. You decide the mix that makes your customers successful.

About the team

Energy and life sciences run the infrastructure society depends on. We help them modernise it without ever compromising the trust it carries.

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