Data Architect

Requirements:

• 10+ years of experience across data architecture, data engineering, semantic model design, analytics, and/or business intelligence roles.
• Proven track record of delivering enterprise-scale data and analytics solutions for biopharma/pharmaceutical clients.
• Strong communication and stakeholder management skills, with the ability to explain complex technical concepts and architecture decisions to technical and non-technical stakeholders.
• Ability to provide both strategic architectural direction and practical technical guidance to implementation teams.
• Hands-on experience with AWS data and analytics services, particularly Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, and related AWS services.
• Experience with AWS data platform migration or modernisation initiatives.
• Experience designing and implementing enterprise semantic layers/models and reusable data products.
• Experience operationalising data products across their lifecycle, from design and development through production deployment, governance, monitoring, and consumption.
• Experience designing and implementing data lakes, lakehouses, and/or data fabric architectures.
• Experience establishing enterprise data governance, data cataloguing, lineage, metadata, and data quality capabilities.
• Experience working with clinical, R& D, laboratory, or regulatory data in Life Sciences environments.
• Understanding of regulatory and compliance requirements such as FDA, EMA, and GxP.
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
• Relevant certifications in cloud architecture, data engineering, data architecture, or data governance are an advantage.

Skills

AWS, AWS Glue, Amazon Athena, Amazon Redshift, Amazon S3, Analytics, Business Intelligence, Data Architecture, Data Engineering