Lead Data Platform Architect

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Belmont Lavan

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11 - 50 employees

WHO ARE WE?

📋 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).