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Lead Data Platform Architect
Job in
1011, Amsterdam, North Holland, Netherlands
Listed on 2026-10-12
Listing for:
Belmont Lavan Ltd
Contract
position Listed on 2026-10-12
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
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 Data Factory 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
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