Lead Data Platform Architect 12 Months Contract

Belmont Lavan Ltd; Netherlands; On-site; EUR 120,000 - 180,000; Full time

Job summary

Belmont Lavan Ltd is seeking an experienced Data Engineer to design, build, and govern cloud-based data platforms for Life Sciences, spanning multi-country datasets and regulatory-grade assets. You will perform hands-on engineering on Azure and Databricks and provide technical leadership to a multidisciplinary team.

The role requires 8+ years in data engineering with pharmaceutical experience, delivering cloud platforms on Azure/Databricks, and strong Python/SQL skills with ETL/ELT

Qualifications

• 8+ years in data engineering with Life Sciences/pharma experience.
• Delivery of cloud data platforms on Azure and Databricks; familiarity with Microsoft Fabric.
• Strong Python and SQL skills with ETL/ELT orchestration (Azure Data Factory).
• Hands-on CDISC standards (SDTM/ADaM) and clinical data workflows.
• Experience with SQL Server, PostgreSQL, MongoDB; data governance and access control.
• Team leadership and Agile delivery (Scrum, SAFe,Kanban).

Responsibilities

• Lead design, build and governance of cloud data platforms for multi-country life-sciences datasets.
• Mentor cross-functional teams and ensure compliant, analysis-ready data assets.
• Collaborate with stakeholders to translate clinical data needs into scalable pipelines.

Skills

Cloud data platforms

Azure

Databricks

Python

SQL

ETL/ELT orchestration

CDISC SDTM/ADaM

Life Sciences/pharma

Data governance

Team leadership

Agile (Scrum/SAFe/Kanban)

Tools

Azure Data Factory

Microsoft Fabric

SQL Server

PostgreSQL

MongoDB

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.

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