Lead Data Platform Architect

🕒 June 24

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Belmont Lavan

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

Belmont Lavan is a bespoke Digital Recruitment Agency focused on connecting businesses with top web and digital talent across Europe. The company aims to transform the outdated practices of the recruitment industry by implementing modern methods and technologies. They specialize in various areas of recruitment, including web development, information security, and executive placements. Belmont Lavan emphasizes efficiency for clients by limiting the number of clients they take on, ensuring dedicated attention to each vacancy, and providing candidates with feedback throughout the recruitment process.

📋 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

• 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).