Senior Data Architect

Join a global life science and healthcare company as a Senior Data Architect within the Data Assets, Analytics & AI organization. You will help shape and develop data platforms, data products and analytics solutions supporting global Commercial, Marketing, Sales, CRM and eCommerce teams.

• Minimum 5 years of experience in Data & Analytics as a Senior Data Architect, Lead Data Architect or Principal Data Engineer.
• Strong experience in data architecture, data modelling and data integration.
• Hands-on experience with data pipelines and modern data engineering solutions.
• Knowledge of data quality management, data governance, data cataloguing and data compliance.
• Understanding of the Data as a Product mindset.
• Strong commercial experience with Azure Data Factory and Azure Databricks.
• Strong knowledge of SQL and Python.
• Experience in leading or coordinating Data Engineering teams.
• Experience working directly with business stakeholders and translating business requirements into technical solutions.
• Good understanding of GitHub, GitHub Actions, CI/CD, version control, pull requests and code reviews.
• Understanding of software development and DevOps practices in a production data engineering environment.

Nice to Have:

• Experience in a FMCG, CPG, Consumer Health or other commercial environment
• Experience with Snowflake.
• Experience with Azure DevOps.
• Knowledge of Power BI or Tableau beyond basic reporting.
• Experience with advanced analytics or AI-enabled data solutions.

• Designing and developing end-to-end data architecture for global Commercial and Analytics solutions.
• Translating business requirements into scalable data platforms, data products and technical solutions.
• Defining and evolving data models, data integration architecture and data pipelines.
• Establishing and maintaining standards for data quality, governance, cataloguing and compliance.
• Promoting a Data as a Product mindset across data assets and products.
• Providing technical leadership and guidance to Data Engineering teams.
• Collaborating closely with business stakeholders, analysts and technology teams.
• Supporting the delivery of production-ready data solutions and ensuring high standards of reliability and scalability.
• Contributing to the evolution of the Azure Data Platform and modern data engineering practices.
• Supporting analytics and reporting solutions, including KPI modelling and analytics products.