Key Responsibilities
Data 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.
