Data Architect | Life Sciences | £90k to £120k + Equity | London

Full Description

Data Architect – Life Sciences Scale‑Up

📍London Hybrid (UK)

💰 £90,000 – £100,000 + Bonus, Equity, Health, Pension, 25 days holiday

🧬 Databricks | PySpark | AWS | Data Governance

Are you a Data Architect who wants your work to matter?

Join a mission‑led Life Sciences scale‑up where modern data architecture directly accelerates discovery, improves patient outcomes, and powers product innovation.

This is a high‑growth environment with the autonomy to make architectural decisions that stick.

⭐ Why this role

• Shape a cloud‑native data architecture on AWS that underpins analytics, ML, and product.

• Set the standards for Databricks usage, PySpark conventions, and data modeling across domains.

• Work with engaged stakeholders (Product, Engineering, Data Science, Clinical Ops) who value pragmatic, outcome‑driven design.

• Real influence: blueprint today’s platform and the roadmap for the next phase of scale.

🔧 What you’ll own

• Target Architecture & Roadmap: Define current → target state for data platforms, services, and integrations.

• Modeling & Standards: Establish dimensional/data‑vault/medallion patterns, coding standards, and reusable templates for Databricks + PySpark.

• Governance by Design: Implement data quality, lineage, cataloguing, and access controls; partner on privacy & compliance in a regulated domain.

• Platform Guidance (AWS): Leverage S3, Glue, Lambda, EMR/Databricks, Redshift (or equivalent) to deliver scalable, cost‑efficient data services.

• Enablement: Coach Data Engineering and Analytics teams; drive architectural reviews, reference architectures, and design playbooks.

• Performance & Cost: Introduce observability, right‑sizing and workload orchestration to keep pipelines fast and spend under control.

🎯 What we’re looking for

• Proven experience as a Data Architect (or Senior stepping up), ideally in data‑intensive or regulated environments.

• Strong hands‑on understanding of Databricks and PySpark (you set the patterns; you don’t have to code daily).

• Solid AWS data stack exposure (S3, Glue, Lake/Lakehouse, Redshift or similar) and modern ELT/ETL approaches.

• Practical data modelling skills (star/snowflake, data vault, medallion) and governance (catalogue, lineage, RBAC).

• Comfortable partnering with senior stakeholders; clear, business‑first communication.

• Life Sciences experience is a bonus—not a blocker. Curiosity and product thinking matter more.

🚀 What’s in it for you

• £90k–£100k + bonus, with genuine scope to grow.

• High autonomy, modern tooling, and a collaborative culture.

• A seat at the table: your architecture will shape products, not just diagrams.

• Work with talented engineers, scientists and product leaders on problems that have real‑world impact.