Why this role exists:

nThe 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-current AI technology roadmap, this role ensures that cloud environments are scalable, resilient, and optimised 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 democratised, self-service data environment.

nWhere you will make a difference:

nIn this role you will:

nCloud Architecture & Infrastructure Design:

n

n
- Define, provision and automate enterprise scale Snowflake platform deployments across both AWS and GCP to support enterprise data and AI initiatives.
n
- 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.
n
- Lead infrastructure design using Terraform, ensuring robust IAM, networking, and security configurations.
n
- 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.
n
- Ensure all environments are secure, scalable, resilient, and cost-efficient, managing the financial risk of underutilization.
n

nAutomation & Engineering Excellence:

n

n
- Drive automation and CI/CD practices to increase delivery velocity and stability across the distributed delivery model.
n
- Establish and govern engineering best practices for cloud deployments, ensuring code quality and architectural integrity.
n
- Implement proper configuration management and change controls for all enterprise cloud environments.
n
- Support the modernization of data platforms, including the integration with SAP Datasphere and modern cloud-native environments.
n

nProcess & Continuous Improvement:

n

n
- Possess a continuous improvement mindset, proactively identifying opportunities to optimize cloud performance and reduce the cost of doing business.
n




- Challenge existing workflows and mindsets to ensure technology solutions deliver maximum value with minimal friction.
n
- Monitor and evaluate service outcomes to identify trends and implement iterative improvements to global infrastructure.
n
- Stay ahead of emerging technology trends, iteratively improving cloud assets to maintain a competitive advantage for Officeworks.
n

nWho you will be working with:

n

n
- Insights & Data Leadership: Collaborating on enterprise-wide strategy, platform stability, and the execution of the data democratization roadmap.
n
- AI & Data Hubs: Partnering with AI Technical Associate Managers, Data Architects, and Engineers to bring architectural solutions to reality.
n
- Specialist Technology Teams: Working with technical specialists across various disciplines to ensure seamless integration.
n
- Business Stakeholders: Translating complex cloud infrastructure capabilities into actionable commercial narratives that drive performance.
n

nWhat success looks like:

n

n
- Hub Enablement: The data and analytics hubs are supported by high-performing, secure, and automated cloud environments.
n
- Deployment Velocity: Successful implementation of automation that minimizes manual effort and release risk for teams.
n
- Platform Resilience: A robust, future-proof cloud foundation that supports the move toward data democratization and self-serve analytics.
n
- Operational Maturity: Demonstrable optimization of cloud spend while scaling to meet the needs of the AI roadmap.
n
- Thought leadership and operational skills that contribute ideas to the cost-management of the Enterprise Data Platform.
n

nHow you will lead:

nIndividual Contributor:

n

n
- Lives our Officeworks values and behaviors
n
- Proactively contributes to a safe working environment, escalates appropriately if there are unsafe conditions or inappropriate behavior
n
- Operates in line with applicable Officeworks company policies and Code of Conduct
n
- Demonstrates a strong sense of personal accountability and curiosity to learn and develop
n

nQualifications and work experience:

nEssential:

n

n
- Education:



Bachelors degree in computer science, Information Technology, Software Engineering, or a related field. Cloud certifications (AWS/GCP) will be highly regarded.
n
- 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.
n
- Technical Mastery: n n
- Strong experience with CloudFormation, Terraform, Infrastructure as Code (IaC), IAM, networking , and contemporary cloud platforms (AWS and GCP ).
n
- Extensive experience managing complex Snowflake environments, including platform administration as code, RBAC, least-privilege access controls, networking, integrations & security
n
- Strong understanding of enterprise cloud architecture, platform engineering, infrastructure design, security best practices, and governance.
n
- Experience supporting modern AI/ML platforms and cloud-native infrastructure for data and AI workloads.
n

n
- Systems Knowledge: n

n
- Hands-on proficiency with Git/GitHub , Jenkins , CI/CD pipelines , DevOps practices, and automated deployment frameworks.
n
- Strong experience integrating enterprise data platforms and modern data engineering tools including Snowflake, dbt, Apache Airflow, HighTouch, Soda, Experian , and other enterprise data integration platforms.
n
- Strong programming experience in Python for infrastructure automation, platform engineering, and operational tooling.
n
- Experience implementing DevOps best practices, automated testing, monitoring, observability, and release management across enterprise cloud platforms.
n

n
- Architecture & Design: n

n
- Demonstrated experience designing and implementing scalable, secure, highly available cloud architectures across AWS and GCP.
n
- Experience designing enterprise data platforms supporting AI, analytics, and large-scale data engineering workloads.
n
- Strong understanding of cloud networking, security architecture, identity management, and governance frameworks.
n

n
- Adaptability: Proven ability to lead technical transformation initiatives, adopt emerging cloud technologies, and support evolving AI-driven architectures.
n
- Cultural Fit: A proactive self-starter with strong problem-solving skills, excellent stakeholder management, and a passion for engineering excellence and continuous improvement.
n

📌 Associate Principal Cloud Engineer (Bengaluru)
🏢 Officeworks
📍 Bengaluru