Lead Data Platform Architect 12 Months Contract

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

Design, build, and govern cloud-based data platforms that turn heterogeneous, multi-country life-sciences data into trusted, reusable data products.

The role spans clinical trial data, real-world data (RWD), and omics — harmonising these into standardised, regulatory-grade, analysis-ready assets. Combines hands‑on engineering on Azure and Databricks with technical leadership of a multidisciplinary team.

Required (Must-Have)

• 8+ years in data engineering, with substantial Life Sciences / pharmaceutical experience.
• Proven delivery of cloud data platforms on Azure and Databricks; familiarity with Microsoft Fabric.
• Strong proficiency in Python and SQL, plus ETL/ELT orchestration (Azure Data Factory).
• Hands‑on experience with CDISC standards (SDTM, ADaM) and clinical data workflows.
• Relational and non‑relational stores: SQL Server, PostgreSQL, MongoDB.
• Data governance, access control, and sensitive/anonymised data handling.
• Team leadership and Agile delivery (Scrum, SAFe, Kanban).

Preferred (Nice-to-Have)

• OMOP CDM and real‑world data standardisation experience.
• Omics / bioinformatics data and large‑scale scientific datasets.
• Graph databases (Neo4j) and knowledge‑graph modelling.
• BI & visualisation: Power BI, Metabase, Streamlit.
• Certifications (Preferred) Databricks Certified Data Engineer (Associate / Professional) Microsoft Certified: Azure Data Engineer / Fabric Analytics Engineer Associate Neo4j Certified Professional Professional Scrum Master (PSM I / II)

Soft Skills

• Cross‑functional collaboration with scientific and business stakeholders.
• Clear communication of technical concepts to non‑technical audiences.
• Multilingual capability for global study support (an asset).

Team leadership and Agile delivery (Scrum, SAFe, Kanban)

Strong proficiency in Python and SQL

clinical data workflows

Pharmaceutical experience

ETL/ELT orchestration

SQL Server, PostgreSQL, MongoDB

Proven delivery of cloud data platforms on Azure and Databricks

8+ years in data engineering

Azure DataFactory

Data governance, access control, and sensitive/anonymised data handling

Hands‑on experience with CDISC standards (SDTM, ADaM)

Microsoft Fabric

Preferred skills

OMOP CDM and real‑world data standardisation experience

Omics / bioinformatics data and large‑scale scientific datasets

BI & visualisation: Power BI, Metabase, Streamlit

Graph databases (Neo4j) and knowledge‑graph modelling