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.
About the Data and Analytics Function:
By joining the Data, Analytics and AI Hub within Officeworks’ Global Capability Centre (GCC), you will play a pivotal role in enabling business growth and performance through insight, intelligence and innovation. You will support executing the strategy and accelerate the shift to a more digital and AI-native organization. You’ll help build advanced capabilities that sit at the core of how the business understands customers, informs decisions, invests wisely, and delivers measurable value.
The GCC is a critical enabler of Officeworks’ purpose, by providing data-driven insights, trusted analytics, and scalable AI solutions that empower smarter, faster decision making and support sustainable success.
This is a unique opportunity to join as a founding member of a newly established global hub. Early joiners will help shape how data, analytics and AI shape Officeworks, influencing future ways of working, building critical capabilities, and driving the evolution of some of Officeworks’ most important data and intelligence platforms.
These roles are best suited for people who enjoy:
- Working in data, analytics and AI disciplines, including data engineering, reporting, advanced analytics, machine learning, governance, and insight generation.
- Supporting global initiatives by building scalable, high quality data and AI products.
- Enabling business transformation through insight-led storytelling, experimentation, and continuous improvement.
- Thriving in an environment where your expertise is valued, your development is intentionally supported, and your work has a visible, meaningful impact on business outcomes.
Why this role exists:
The Associate Principal Cloud Engineer is a senior technical authority responsible for defining and leading the infrastructure strategy across AWS and GCP. As Officeworks executes a brand-new AI technology roadmap, this role ensures that cloud environments are scalable, resilient, and optimized for high-value data and AI platforms. This role will bridge the gap between infrastructure and delivery, driving the automation and security standards required for a democratized, self-service data environment.
Where you will make a difference:
In this role you will:
Cloud Architecture & Infrastructure Design:
- Define, provision and automate enterprise scale Snowflake platform deployments across both AWS and GCP to support enterprise data and AI initiatives.
- Build and optimize scalable enterprise data platforms, pipelines, and domain-aligned data products across Snowflake and cloud-native services (AWS/GCP), enabling secure, reusable, and high-performance Data-as-a-Service capabilities for analytics, operational reporting, APIs, and AI/ML workloads.
- Lead infrastructure design using Terraform, ensuring robust IAM, networking, and security configurations.
- Engineer and support enterprise data architecture patterns including medallion data layers (Bronze, Silver, Gold), semantic modelling, metadata-driven ingestion, automated schema evolution, partitioning, clustering, workload scaling, and performance optimization across large-scale distributed cloud environments.
- Ensure all environments are secure, scalable, resilient, and cost-efficient, managing the financial risk of underutilization.
Automation & Engineering Excellence:
- Drive automation and CI/CD practices to increase delivery velocity and stability across the distributed delivery model.
- Establish and govern engineering best practices for cloud deployments, ensuring code quality and architectural integrity.
- Implement proper configuration management and change controls for all enterprise cloud environments.
- Support the modernization of data platforms, including the integration with SAP Datasphere and modern cloud-native environments.
Process & Continuous Improvement:
- Possess a continuous improvement mindset, proactively identifying opportunities to optimize cloud performance and reduce the cost of doing business.
- Challenge existing workflows and mindsets to ensure technology solutions deliver maximum value with minimal friction.
- Monitor and evaluate service outcomes to identify trends and implement iterative improvements to global infrastructure.
- Stay ahead of emerging technology trends, iteratively improving cloud assets to maintain a competitive advantage for Officeworks.
Who you will be working with:
- Insights & Data Leadership: Collaborating on enterprise-wide strategy, platform stability, and the execution of the data democratization roadmap.
- AI & Data Hubs: Partnering with AI Technical Associate Managers, Data Architects, and Engineers to bring architectural solutions to reality.
- Specialist Technology Teams: Working with technical specialists across various disciplines to ensure seamless integration.
- Business Stakeholders: Translating complex cloud infrastructure capabilities into actionable commercial narratives that drive performance.
What success looks like:
- Hub Enablement: The data and analytics hubs are supported by high-performing, secure, and automated cloud environments.
- Deployment Velocity: Successful implementation of automation that minimizes manual effort and release risk for teams.
- Platform Resilience: A robust, future-proof cloud foundation that supports the move toward data democratization and self-serve analytics.
- Operational Maturity: Demonstrable optimization of cloud spend while scaling to meet the needs of the AI roadmap.
- Thought leadership and operational skills that contribute ideas to the cost-management of the Enterprise Data Platform.
How you will lead:
Individual Contributor:
- Lives our Officeworks values and behaviors
- Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behavior
- Operates in line with applicable Officeworks company policies and Code of Conduct
- Demonstrates a strong sense of personal accountability and curiosity to learn and develop
Qualifications and work experience:
Essential:
- Education: Bachelor’s degree in computer science, Information Technology, Software Engineering, or a related field. Cloud certifications (AWS/GCP) will be highly regarded.
- Experience: 10+ years of experience in IT architecture, cloud engineering, platform engineering, and infrastructure design roles, with a strong focus on enterprise cloud platforms, data platforms, and AI enablement.
Technical Mastery:
- Strong experience with CloudFormation, Terraform, Infrastructure as Code (IaC), IAM, networking, and contemporary cloud platforms (AWS and GCP).
- Extensive experience managing complex Snowflake environments, including platform administration as code, RBAC, least-privilege access controls, networking, integrations & security
- Strong understanding of enterprise cloud architecture, platform engineering, infrastructure design, security best practices, and governance.
- Experience supporting modern AI/ML platforms and cloud-native infrastructure for data and AI workloads.
Systems Knowledge:
- Hands-on proficiency with Git/GitHub, Jenkins, CI/CD pipelines, DevOps practices, and automated deployment frameworks.
- Strong experience integrating enterprise data platforms and modern data engineering tools including Snowflake, dbt, Apache Airflow, High Touch, Soda, Experian, and other enterprise data integration platforms.
- Strong programming experience in Python for infrastructure automation, platform engineering, and operational tooling.
- Experience implementing DevOps best practices, automated testing, monitoring, observability, and release management across enterprise cloud platforms.
Architecture & Design:
- Demonstrated experience designing and implementing scalable, secure, highly available cloud architectures across AWS and GCP.
- Experience designing enterprise data platforms supporting AI, analytics, and large-scale data engineering workloads.
- Strong understanding of cloud networking, security architecture, identity management, and governance frameworks.
Adaptability:
- Proven ability to lead technical transformation initiatives, adopt emerging cloud technologies, and support evolving AI-driven architectures.
Cultural Fit:
- A proactive self-starter with strong problem-solving skills, excellent stakeholder management, and a passion for engineering excellence and continuous improvement.
Click on Apply to know more.
