Senior Data Architect

• Strong (10+ years) data architecture and data modelling experience (conceptual/logical/physical), including documenting complex data structures and relationships.
• Proficiency in SQL and Python, ideally in Google Cloud or other cloud platforms, with the ability to validate data designs through analysis.
• Solid knowledge of data management best practices: metadata, lineage, data quality, security/privacy, retention, and governance.
• Experience defining architecture patterns and standards for data pipelines, integration, and publishing/consumption layers.
• Strong English language skills for clear written and verbal communication, including producing architecture documentation and facilitating design discussions.

· Nice to have:

· Understanding of IT infrastructure or business architecture and how data architecture aligns to broader enterprise architecture.

· Experience in large or matrix organisations with multiple stakeholders and delivery teams.

· Familiarity with data governance and metadata tools (e.g., Collibra, Erwin, Dataplex) and cloud environments (Azure, AWS, Google Cloud Platform).

· Strong technical writing and presentation skills, including the ability to communicate architecture decisions and trade-offs to varied audiences.