Key ResponsibilitiesData Architecture & Strategy

• Define and evolve enterprise data architecture principles, standards, and models
• Develop data strategy and modelling transition roadmaps, including sequencing and dependencies
• Design canonical, domain, and analytical data models, including shared and reference data patterns
• Support federated data operating models with clear ownership and stewardship
• Drive architectural simplification, innovation, and evolution within governed environments

Governance, Risk & Compliance

• Design data architectures that meet regulatory, security, and compliance requirements
• Embed data governance, quality, metadata, lineage, and auditability by design
• Define data classification and control models supporting traceability and regulatory reporting

Cloud & Platform Architecture

• Translate logical and domain data models into physical cloud implementations
• Design schemas, pipelines, and lakehouse/warehouse patterns on modern cloud platforms
• Apply cloud data integration patterns with awareness of governance, lineage, and access control implications

Migration & Delivery

• Define and support data migration strategies, including source-to-target mappings and reconciliation
• Enable phased cutover approaches alongside business-critical delivery
• Work independently across multiple initiatives, prioritising effectively in complex environments

Stakeholder Engagement

• Partner with business and technology stakeholders to capture requirements and define data products
• Communicate complex data concepts clearly to technical and non-technical audiences
• Articulate modelling trade-offs and architectural constraints to support informed decisions

Skills & Experience

• Strong experience in enterprise data architecture and information architecture
• Deep understanding of conceptual, logical, and physical data modelling
• Proven experience shaping data strategy aligned to measurable business value
• Knowledge of modern cloud data platforms (e.g. Databricks, Microsoft Fabric, Spark ecosystems)
• Working knowledge of architecture frameworks (e.g. TOGAF) and relevant data standards

Why Join

This is an opportunity to play a pivotal role in shaping enterprise data foundations, influencing strategy, and enabling trusted, compliant, and scalable data platforms.