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