Data Architect (6-Month Contract)
Key Responsibilities
Design, develop, and maintain enterprise data architecture solutions aligned with business and technology strategies
Define and implement data models, data standards, and governance frameworks across multiple business domains
Design scalable and secure data platforms leveraging Microsoft Azure services and Databricks
Develop and maintain data warehouse, data lake, and lakehouse architectures to support reporting, analytics, and AI initiatives
Establish best practices for data integration, transformation, storage, and lifecycle management
Support cloud-based data migration and modernization initiatives
Stakeholder Engagement and Technical Leadership
Provide architectural guidance to data engineers, developers, analysts, and project teams
Collaborate with business and technical teams to define data roadmaps and priorities
Support knowledge transfer and mentoring activities across the wider technology team
Project Delivery and Governance
Deliver data architecture initiatives using structured project management and governance methodologies
Define solution architectures, technical specifications, and implementation roadmaps
Identify project risks, dependencies, and mitigation strategies
Support procurement, vendor engagement, and solution evaluation activities where required
Ensure all architectural documentation is maintained and aligned with governance standards
Required Qualifications
A relevant third-level degree in Computer Science, Information Systems, Data Engineering, or a related discipline
Minimum 7 years’ experience in Data Architecture, Data Engineering, or Enterprise Data Management roles
Strong experience designing and implementing enterprise-scale data architectures
Extensive hands‑on experience with Microsoft Azure data services including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and related technologies
Strong experience working with Databricks for data engineering, transformation, and analytics workloads
Proven experience designing and managing enterprise data warehouse, data lake, and lakehouse solutions
Strong understanding of data modelling techniques, including conceptual, logical, and physical data models
Knowledge of data governance, data quality, metadata management, and security best practices
Strong analytical and problem-solving capability
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