Lead Data Platform Architect 12 Months Contract
Indexed 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
Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/lead-data-platform-architect-12-months-contract-belmont-lavan-ltd
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