Lead Data Platform Architect 12 Months Contract

🏢 Belmont Lavan Ltd · all Belmont Lavan Ltd jobs

📍 Netherlands

💰 EUR 115,000 - 135,000 / annual

📅 Posted 2026-06-30 · via Himalayas

🏷 Data-Platform-Engineering,Cloud-Data-Architecture,Life-Sciences-Data-Engineering,Big-Data-Engineering,Data-Architecture,Lead-Data-Architect,Data-Platform-Architect,Data-Platform-Lead,Data-Platform-Architecture-Manager,Senior-Data-Architect,Cloud-Data-Architect-Lead

Apply on original site ↗

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.
Requirements

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

Originally posted on Himalayas

← All remote jobs