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Lead Data Platform Architect 12 Months Contract

2 months ago
Netherlands
Contract
Lead
Data Architect
Data Science and Analytics
Agile Azure Databricks Kanban Metabase MongoDB Neo4j PostgreSQL Power BI Python Scrum SQL SQL Server
Apply Now
Belmont Lavan

Belmont Lavan

Belmont Lavan Talent Without Borders | PEO & Talent Acquisition Partner Belmont Lavan is a PEO and Talent Acquisition Global Service provider WORKING WITH STARTUPS & CORPORATES INTERNATIONALLY EUROPE USA CANADA AFRICA WORKING WITH STARTUPS & CORPOR...

Professional Services
11-50
Founded 2001
View All Jobs 2

Description

  • Design, build, and govern cloud-based data platforms on Azure and Databricks.
  • Harmonise heterogeneous, multi-country life sciences data into standardised, analysis-ready assets.
  • Develop data products spanning clinical trial data, real-world data, and omics datasets.
  • Lead technical delivery for a multidisciplinary team.
  • Implement ETL/ELT pipelines and orchestration using Azure Data Factory.
  • Apply data governance, access control, and secure handling of sensitive and anonymised data.
  • Work with clinical data workflows and CDISC standards to support regulatory-grade outputs.
  • Collaborate with scientific and business stakeholders to translate data needs into technical solutions.
  • Support Agile delivery processes across Scrum, SAFe, or Kanban.

Requirements

  • 8+ years of experience in data engineering, with substantial life sciences or pharmaceutical experience.
  • Proven delivery of cloud data platforms on Azure and Databricks, with familiarity with Microsoft Fabric.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with ETL/ELT orchestration using Azure Data Factory.
  • Hands-on experience with CDISC standards, including SDTM and ADaM, and clinical data workflows.
  • Experience with relational and non-relational data stores, including SQL Server, PostgreSQL, and MongoDB.
  • Experience in data governance, access control, and handling sensitive or anonymised data.
  • Experience leading teams and delivering work in Agile environments such as Scrum, SAFe, or Kanban.
  • Preferred experience with OMOP CDM and real-world data standardisation.
  • Preferred experience with omics or bioinformatics data and large-scale scientific datasets.
  • Preferred experience with graph databases such as Neo4j and knowledge-graph modelling.
  • Preferred experience with BI and visualisation tools such as Power BI, Metabase, or Streamlit.
  • Preferred certifications include Databricks Certified Data Engineer, Microsoft Azure Data Engineer or Fabric Analytics Engineer Associate, Neo4j Certified Professional, or PSM I/II.
  • Strong communication skills for working with technical, scientific, and non-technical stakeholders.
  • Multilingual capability for global study support is an asset.

Interested in this position?

Apply directly on the company website

Apply Now

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