Website:
talent500.com
Job details:
About Officeworks:
Officeworks’ purpose is “we bring big ideas to life at low prices”. We are Australia’s leading omnichannel retailer of complete technology solutions, stationery, furniture, art supplies, and learning resources. We also offer services including Print & Create and Geeks2U. We begin with customers—our products and services provide solutions to our diverse range of customers across Australia, from households, students, small to large-sized businesses, governments, and schools.
The Data Architect designs and owns solution-level and domain-level data architectures to ensure Officeworks’ data is scalable, secure, and interoperable across the enterprise. The role bridges strategic data direction with technical implementation, driving the continuous improvement of data practices and architectural standards. By applying governance and defining end-to-end data flows, this position plays a critical role in the democratization of data and the successful integration of emerging AI and machine learning initiatives into the Snowflake enterprise data platform, and any source-of-record system as may be required.
In addition, the role contributes to the evolution and execution of the Enterprise Data Strategy through ongoing collaboration with the Enterprise Data Architect.
Essential:
- Education: Bachelor's degree in Computer Science, Mathematics, or a related field.
- Experience: Minimum 5-7+ years’ experience in Data Architecture or Data Modelling roles within complex enterprise environments.
- Technical Knowledge: Strong expertise in Snowflake, GitHub, and modern data integration patterns (API-led, event-driven).
- Process Improvement: Proven ability to identify process gaps and implement continuous improvement initiatives within a technical or architectural context.
- Modelling Expertise: Proven track record in designing logical and physical data models and implementing canonical models.
- Stakeholder Management: Demonstrated ability to influence Technical Leads and senior stakeholders, providing clear architectural direction and resolving complex design conflicts.
- Adaptability: A high degree of adaptability with the ability to understand and support the leap from traditional ML to emerging AI technologies.
Preferred:
- Post-Graduate Certifications: Post graduate studies and specialist certifications in data and architecture are highly valued.
- Industry Experience: Experience within the Retail industry or large-scale omnichannel environments.
- Platform Experience: Familiarity with SAP BW, Datasphere, or large-scale migrations from legacy environments to cloud-based platforms.
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