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About the Role
We are looking for a Senior Platform Engineer to design, build, and evolve a secure, scalable, and modern data platform that powers enterprise analytics, reporting, and data products. This role is ideal for someone who enjoys combining platform engineering, cloud, automation, and modern AI-enabled ways of working to help data teams deliver faster, more reliably, and at scale.
Responsibilities
- Lead the design and continual enhancement of enterprise data platform capabilities across ingestion, transformation, analytics, and consumption layers
- Develop and enhance reusable platform services that support self-service data engineering and analytics capabilities
- Establish and maintain cloud-native platform patterns, environment standards, and Infrastructure as Code practices
- Drive CI/CD, automation, and engineering workflows across data pipelines and platform components
- Strengthen platform reliability through enhanced observability, monitoring, alerting, and operational excellence practices
- Embed AI-enabled engineering practices to improve development velocity, troubleshooting effectiveness, testing quality, and platform optimisation
- Collaborate closely with Data Engineering, Analytics, and Data Science teams to deliver secure, scalable, and sustainable platform outcomes
- Partner with Infrastructure, DevOps, and administration teams to enable secure, scalable, and operationally resilient platform capabilities
- Evaluate emerging technologies, lead proof-of-concepts, and enable adoption where strategically aligned
Requirements
- Demonstrated experience in platform engineering, data engineering, or cloud engineering roles within enterprise-scale environments
- Strong knowledge of modern data platforms and tooling, including Azure Databricks, Snowflake, Synapse, Fabric, and dbt
- Strong knowledge of integration and orchestration tooling, including Azure Data Factory, Apache Airflow, Kafka, event-driven integration patterns, and API enablement platforms
- Hands-on experience with platform engineering and automation tooling, including Terraform, Bicep, and related cloud enablement frameworks
- Experience with CI/CD and engineering workflows using tools such as Azure DevOps, GitHub, and related delivery pipelines
- Strong scripting and programming capability across Python, Bash, or PowerShell
- Experience with observability, monitoring, and operational support across data and platform environments
- Exposure to AI-enabled engineering tools, or a strong interest in applying AI to development, testing, troubleshooting, and platform operations
- Strong problem-solving capability, systems thinking, and sound judgement across technical and business contexts
- Well-developed stakeholder engagement, communication, and collaboration skills, with the ability to influence outcomes across cross-functional teams
Skills
- Azure Databricks
- Snowflake
- Synapse
- Fabric
- dbt
- Azure Data Factory
- Apache Airflow
- Kafka
- Terraform
- Bicep
- Azure DevOps
- GitHub
- Python
- Bash
- PowerShell
Work Type
- flexible work arrangements
- part-time options
- Hybrid
Experience Level
- Senior
Education Level
- A relevant tertiary qualification in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience
Benefits
- Reimbursements for professional development and subsidised qualifications
- retail discounts
- wellbeing leave
- paid volunteering days
- twelve flexible working options
- market-leading parental leave and return to work support package
About the Company
- At Deloitte, we focus our energy on interesting and impactful work.
- We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society.
- We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
- We embrace diversity, equity and inclusion.
- We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles.
- What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
- We support flexibility and choice.
- We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs.
- We help you live and work well.
Equal Opportunity
- By applying for this job, you’ll be assessed against the Deloitte Talent Standards.
- We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally.
- The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.