Solution Architect (projekt VIDRU)

Quick Facts

• Role: Senior Solution Architect (hands-on architecture and delivery)
• Focus: End-to-end target-state architecture for harmonised, AI-ready and FAIR-enabled scientific discovery data across multiple workflows

Description

We are delivering a multi-year programme to transform fragmented legacy discovery data into a harmonised, AI-ready and FAIR-enabled data foundation supporting seven scientific data workflows across vaccines and infectious disease research. You will define the target-state architecture, integration patterns, and data standards, translating real-world research workflows into scalable technical solutions. The role is hands-on: you will design solutions, review implementation quality, and drive architectural decisions.

Responsibilities

• Define and maintain the end-to-end target architecture across scientific data workflows
• Design data mesh and data product architectures (ownership, data contracts, quality expectations, lifecycle management)
• Design cloud data solutions using Microsoft Azure and Databricks, including lakehouse/Delta architectures, data pipelines, secure networking, secrets management, and observability
• Define integration architectures connecting ELN, LIMS, sample inventory systems, and scientific instruments with governed data platforms
• Architect solutions for structured and unstructured scientific data, including high-volume instrument outputs, provenance, and schema evolution
• Define metadata models, naming conventions, identifier strategies, and data lineage
• Operationalise FAIR data principles (cataloguing, discoverability, stewardship, access models)
• Ensure scientific data is structured and exposed for AI/ML use cases (training/feature pipelines and machine-accessible interfaces)
• Define and promote architectural standards while maintaining flexibility for exploratory research
• Apply data integrity and regulatory controls across GxP and non-GxP R&D environments
• Work with scientists and research teams to understand assay/experimental workflows and translate them into technical solutions
• Align scientific leads, business SMEs, and multiple technology functions in a matrix environment
• Review solution designs and implementation quality; provide architectural guidance throughout delivery

Requirements

• Proven experience as a Solution Architect delivering technology solutions in pharma, biotech, or life sciences R&D environments
• Strong understanding of scientific/discovery data workflows and ability to engage with scientists and research teams
• Proven experience designing data mesh and/or data product architectures
• Deep, hands-on experience with Microsoft Azure and Databricks, including lakehouse and Delta architectures
• Experience integrating ELN, LIMS, laboratory systems, sample management/inventory solutions, and scientific instruments
• Strong knowledge of metadata management, semantic modelling, data lineage, and data standards
• Practical experience applying FAIR principles and data governance
• Experience with structured and unstructured scientific data, including large-volume instrument data
• Understanding of AI/ML data enablement and what makes data suitable for machine learning and downstream AI applications
• Experience working in regulated life sciences environments; understanding the distinction between GxP and non-GxP research
• Strong stakeholder management skills to influence across a matrix without direct authority
• Ability to move between scientific, business, and technical discussions and turn complex requirements into practical architecture
• Strong English communication skills

Benefits

• Opportunity to shape the architecture of a major scientific data transformation programme from the ground up
• Direct impact on how discovery data is made available for AI, analytics, and future research
• Exposure to cutting-edge Azure, Databricks, data mesh, FAIR, and AI/ML capabilities
• Close collaboration with scientists and technology teams across a highly specialised R&D environment
• A genuine architecture + delivery role rather than a governance-only position