Data Architect
Listed on 2026-10-16
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IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection, Cloud Computing: Infrastructure & Operations
We are seeking an experienced Data Architect to design, develop and oversee enterprise data architectures that support business intelligence, analytics, digital transformation and data driven decision making.
The successful candidate will be responsible for defining scalable, secure and efficient data architecture solutions, including data platforms, data integration, data modelling, data governance and cloud based data environments.
The role requires strong technical expertise in enterprise data architecture, database technologies, data warehousing, cloud platforms and data management principles. The ideal candidate will have experience designing complex data solutions and working with cross functional teams to ensure alignment between business requirements and technical architecture.
- Enterprise Data Architecture:
Design and maintain enterprise data architectures, frameworks, standards and technology solutions aligned with business and IT strategies. - Data Platform Architecture:
Define scalable data platform architectures, including data warehouses, data lakes, lake houses and cloud based data environments. - Data Modelling:
Develop conceptual, logical and physical data models to support enterprise applications, reporting, analytics and integration requirements. - Data Integration:
Design data integration architectures, including ETL/ELT processes, APIs, batch processing, real time data pipelines and system interoperability. - Data Governance:
Incorporate data governance, data quality, metadata management, data lineage and master data management principles into architecture designs. - Cloud Data Solutions:
Design and support cloud based data architectures using platforms such as Microsoft Azure, AWS, Google Cloud or equivalent technologies. - Data Security:
Define data security architecture, access controls, encryption and data protection standards in accordance with organisational and regulatory requirements. - Architecture Standards:
Establish and maintain data architecture principles, design standards, documentation and best practices. - Solution Design and Review:
Review technical designs and ensure data solutions meet performance, scalability, security
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