Solution Architect - Pharmaceutical R&D

emagine; København; Hybrid; DKK 1,000,000 - 1,400,000; Full time

Job summary

emagine is seeking a Senior Solution Architect to lead the modernization of digital research applications and design integrated solutions across commercial and in-house systems. You will own end-to-end architecture for cloud-native platforms, AI data flows, and research IT services in a pharmaceutical setting.

In this role you will evaluate software options, define ADRs and reference architectures, and collaborate with engineers, product owners and application experts to ensure regulatory and IT

Qualifications

• Strong software architecture and solution design experience within pharmaceutical research IT.
• Experience with research data management and scientific digital solutions.
• Knowledge of applications and architectures supporting automated, high-throughput screening environments.
• Technical experience with at least one object-oriented programming language; .NET/C# and Python are preferred.
• Hands-on experience with microservices and event-driven architectures, including Apache Kafka/event streaming.
• Experience with containerisation and Infrastructure-as-Code using Terraform and/or Bicep.
• Experience with Domain-Driven Design.
• Knowledge of FAIR principles for research data.

Responsibilities

• Own end-to-end solution architecture for digital research applications, integrations, cloud-native platforms, AI and data flows.
• Design how commercial software and internally developed applications integrate into the existing research IT landscape.
• Evaluate commercial software solutions and assess integration requirements and implementation effort.
• Define architecture options, ADRs, reference architectures and phased modernisation roadmaps.
• Work closely with software and data architects, engineers, product owners and application experts on architecture and technical decisions.
• Ensure architecture aligns with enterprise standards, IT security policies and applicable regulatory requirements.
• Support the design and implementation of PoCs, research applications and integrations when needed.

Skills

Architecture design

Research data management

High-throughput screening

C# / Python

Kafka

DDD

FAIR principles

Tools

Terraform

Bicep

Apache Kafka

Job description

On behalf of a client in the pharmaceutical industry, we are looking for a Senior Solution Architect to support the modernisation of digital research applications and design solutions integrating commercial and internally developed systems.

Main Responsibilities

• Own end-to-end solution architecture for digital research applications, integrations, cloud-native platforms, AI and data flows
• Design how commercial software and internally developed applications integrate into the existing research IT landscape
• Evaluate commercial software solutions and assess integration requirements and implementation effort
• Define architecture options, Architecture Decision Records (ADRs), reference architectures and phased modernisation roadmaps
• Work closely with software and data architects, engineers, product owners and application experts on architecture and technical decisions
• Ensure architecture aligns with enterprise standards, IT security policies and applicable regulatory requirements
• Support the design and implementation of PoCs, research applications and integrations when needed

Key Requirements

• Strong software architecture and solution design experience within pharmaceutical research IT
• Experience with research data management and scientific digital solutions
• Knowledge of applications and architectures supporting automated, high-throughput screening environments
• Technical experience with at least one object-oriented programming language; .NET/C# and Python are preferred
• Hands‑on experience with microservices and event-driven architectures, including Apache Kafka/event streaming
• Experience with containerisation and Infrastructure-as-Code using Terraform and/or Bicep
• Experience with Domain-Driven Design
• Knowledge of FAIR principles for research data

Start: asap

End: August 2027

Onsite/remote: min 3 days onsite per week