Lead Data Platform Architect 12 Months Contract at Belmont Lavan Ltd

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Databricks, Python, SQL, Azure Data Factory, CDISC Standards, Microsoft Fabric, Data Governance, Agile Delivery, Life Sciences Data Engineering, PostgreSQL, MongoDB, OMOP CDM, Neo4j, Power BI, Team Leadership

Industry

IT System Custom Software Development

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

Responsibilities

Design and govern cloud-based data platforms to transform multi-country life-sciences data into trusted data products. Lead a multidisciplinary team to harmonize clinical trial, real-world, and omics data into regulatory-grade assets.