We have a client seeking an Enterprise Data Architect to define and lead its data architecture strategy. The role focuses on designing scalable, integrated data solutions that unify legacy and modern systems, enable enterprise-wide analytics, and support business transformation. The position also involves guiding governance, technology adoption, and capability uplift as the organisation modernises its data landscape.
Key Responsibilities
Establish enterprise-wide data architecture principles, standards, and patterns.
Develop data models and integration patterns for structured and unstructured data.
Design unified data solutions that connect legacy systems with modern cloud platforms.
Architect AI/ML-ready environments to enable advanced analytics.
Create transition roadmaps from current-state to target-state architecture.
Implement data architecture governance for consistency and compliance.
Assess emerging technologies and recommend strategic adoption.
Partner with engineering, analytics, and governance teams for successful delivery.
Develop reusable reference architectures and design patterns.
Ensure architectural alignment with analytics, ML, and regulatory requirements.
Translate business objectives into actionable architectural requirements.
About You
10+ years’ experience in data architecture, engineering, or related fields.
Strong background working in complex, siloed environments with cloud-native platforms (AWS, Azure, Databricks, Snowflake).
Ability to translate complex business needs into practical architecture solutions.
Deep understanding of data governance and regulatory frameworks.
Experience designing AI/ML platforms and developing transition roadmaps.
Certifications in AWS or Databricks (highly desirable).
Tertiary qualifications in IT, Business, or related disciplines (preferred).
Experience in industries such as transport, logistics, utilities, or manufacturing is beneficial.
