Life Sciences Cloud Data Platform Architect Azure/Databricks

Belmont Lavan Ltd; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Expertise in CDISC (SDTM/ADaM), Python, SQL and ETL orchestration, plus the ability to communicate complex concepts to non-technical stakeholders, are essential.

Qualifications

• 8+ years in data engineering, with substantial Life Sciences/pharma experience.
• Cloud data platforms on Azure and Databricks; familiarity with Microsoft Fabric.
• Strong Python and SQL, plus ETL/ELT orchestration (Azure Data Factory).
• Hands-on CDISC SDTM/ADaM and clinical data workflows.

Responsibilities

• Design, build, and govern cloud-based data platforms for multi-country life-sciences data.
• Lead multidisciplinary team and deliver with Agile methodologies (Scrum/SAFe/Kanban).
• Collaborate with scientific and business stakeholders to deliver compliant data assets.

Skills

Data engineering

Life Sciences

Python

SQL

ETL/ELT

Azure

Databricks

CDISC SDTM/ADaM

Relational/NoSQL stores

Data governance

Agile delivery

Cross-country data platforms

Eng leadership

Microsoft Fabric

Education

Bachelor’s or higher in CS/Engineering/Life Sciences

Tools

SQL Server

PostgreSQL

MongoDB

Azure Data Factory

Databricks

Neo4j

Job description

Expertise in CDISC (SDTM/ADaM), Python, SQL and ETL orchestration, plus the ability to communicate complex concepts to non-technical stakeholders, are essential.