System Architect

Salary: £62,000 - 88,000 per year

Requirements

• We require 20+ years of experience across architecture, application development, and big data analytics, with significant tenure in the Life Sciences industry.
• We require proven track record in Life Sciences, specifically in Clinical Data, R&D, and Commercial Analytics.
• We require deep understanding of the data challenges inherent in the Life Sciences value chain.
• We require expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns.
• We require deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j).
• We require strong command of AWS (Lambda, Glue, EMR, MWAA, S3), Azure, Airflow, Terraform, Docker, Kubernetes, and Jenkins.
• We require advanced skills in Python, SQL, Scala, Java, and Shell Scripting.
• We require proven ability to lead post-technical win strategies and define long-term platform adoption roadmaps for enterprise-level Life Sciences programs.
• We require end-to-end accountability for complex architectural solutions, ensuring successful production go-lives in regulated environments.
• We require a continuous learning mindset and the ability to bridge Life Sciences business priorities with engineering feasibility.

Responsibilities

• We lead complex, high-value client engagements as an Enterprise Solution Architect with deep expertise in the Life Sciences value chain and data modernization.
• We serve as a strategic bridge between business objectives and technical execution.
• We drive architectural governance, solution shaping, and technical sales enablement within the Life Sciences sector.
• We drive end-to-end data modernization across the Life Sciences value chain, spanning R&D, Clinical Data, and Commercial operations.
• We lead discovery workshops to define high-impact use cases that accelerate drug development and commercial outcomes.
• We translate complex business problems into scalable, value-led architecture roadmaps across AWS, Azure, and GCP.
• We lead end-to-end solutioning for high-value pursuits.
• We provide technical governance for critical programs.
• We drive the adoption of modern data platforms, including Lakehouse architectures for large-scale clinical and commercial data sets.
• We spearhead the development of GenAI assets and proof-of-concepts tailored to Life Sciences workflows.
• We partner with C-suite and senior stakeholders to align technical roadmaps with enterprise goals, ensuring compliance and data reusability across global research and commercial organizations.
• We establish best practices for the Life Sciences Center of Excellence (COE).
• We mentor technical teams and perform rigorous code reviews.

Technologies

• Airflow
• AWS
• Lambda
• Architect
• Azure
• Big Data
• Cloud
• Copilot
• Databricks
• Docker
• GCP
• Support
• Java
• Jenkins
• Kubernetes
• Neo4J
• Python
• PySpark
• SQL
• Scala
• Spark
• Terraform
• microservices
• AI

More

We are hiring an Enterprise Solution Architect focused on Life Sciences data modernization. We work across R&D, Clinical Data, and Commercial operations, using modern architecture and GenAI to support high-value client engagements. This role is centered on strategic solution shaping, technical governance, and enterprise-level stakeholder collaboration. The posting references 15 to 30 years of experience and job number P- .

last updated 37 week of 2026