Databricks Architect | Health and Life Sciences | 12 Month Contract | Remote (EU) We are recruiting a Databricks Architect for a specialist data and AI consultancy delivering a large-scale migration programme for a major organisation in the health and life sciences sector. You will lead the design of the data architecture and strategy, defining how data is stored, consumed, integrated and governed across the organisation.
This is a senior, hands-on role for someone who values clean architecture over quick fixes. You will work closely with data engineers, analysts and business stakeholders to make sure the platform is scalable, secure and aligned with business goals. The team works with stakeholders in the US, so a little flexibility around working hours will help.
The details 12 month contract, with the client looking to take the right person on permanent afterwards
Fully remote, working within the EU
Occasional travel to Brussels, roughly once a quarter
Key responsibilities Design and oversee the overall data architecture across data warehouses, data lakes and integration systems, with Databricks at the core
Lead Databricks migration work, from target state design and migration approach through to delivery
Work with stakeholders to translate business requirements into architecture solutions that support current and future needs
Define and embed data management practices, including data modelling, metadata management, data quality and data governance




Design access controls and data protection mechanisms to keep data secure and compliant with the regulations that apply in health and life sciences
Optimise architectures for performance, scalability and cost across cloud and on-premise environments
Guide data engineers, analysts and developers on architecture best practices
Design and deploy Databricks Genie, working with governed data to support accurate, self-service analytics
Create and maintain architecture documentation, including data flow diagrams, data models and system integrations
Keep up with new trends and technologies in data architecture and apply them where they add value
6+ years of hands-on Databricks experience, with proven architecture and solution design capability
5+ years of experience in health and life sciences
7+ years across data architecture, data engineering or related fields
Strong grounding in data modelling, ETL, data integration and data warehousing
Experience with relational and NoSQL databases, data lakes and big data technologies such as Spark and Kafka
Working knowledge of data governance and data quality frameworks
Experience with cloud platforms (AWS, Azure or GCP) and modern architectures, including serverless and microservices
Strong problem-solving and analytical skills, able to design and deliver complex data systems
Excellent communication and leadership skills, with the ability to influence stakeholders across teams
Highly advised Hands-on experience with Databricks Genie
Experience delivering Databricks migrations at scale
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