Cloud Solutions Engineer Data In
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Cloud Solution Engineer
Position Title: Cloud Solution Engineer
Reports To: Technical Lead Software Engineering
Business Unit / Team: Architecture & Engineering Technology Office
Key Purpose of the Role
The Cloud Solution Engineer (Data Integration team) is responsible for designing building and operating reliable cloud-native data integration solutions that enable efficient data flow across systems. This includes supporting both real-time and batch requirements ensuring security observability and alignment to modern engineering standards.
The role focuses on ingesting and transforming data from multiple systems using scalable event-driven and batch processing techniques and delivering harmonised datasets via APIs messaging platforms and data stores. It also includes overseeing secure file-based integrations implementing automated infrastructure patterns and applying DevOps/cloud-native best practices.
You will collaborate with software engineers data analysts architects and business SMEs to deliver solutions that are scalable observable resilient and well-documented.
Key Responsibilities
1. Data Integration Design & Delivery
Design and implement streaming and batch data ingestion pipelines using cloud-native services.
Transform and harmonise data into common data models staged in relational databases and exposed through APIs or messaging interfaces.
Build resilient file transfer workflows (scheduling parsing transformation logic).
Develop and maintain reusable integration patterns templates and infrastructure-as-code.
2. Cloud-Native Engineering & Automation
Use infrastructure-as-code and CI/CD pipelines for deployments.
Monitor and maintain non-production and production cloud environments (performance cost availability).
Ensure services are secure observable and instrumented with logging and alerting.
3. DataOps & DevOps Practices
Apply DevOps and DataOps principles: continuous integration configuration-as-code automated testing.
Leverage git workflows and CI/CD tooling for agile and rollback-safe delivery.
Align with platform-wide standards and architectural guardrails.
4. BAU Continuous Improvement & Incident Management
Support BAU operations for data integration services ensuring high availability.
Proactively improve performance reduce complexity and strengthen resilience.
Respond to incidents and troubleshoot across cloud services APIs data stores and file transfer systems.
Complete incident post-mortems and implement lessons learned.
5. Collaboration & Technical Leadership
Partner with analysts developers architects and external partners to deliver fit-for-purpose solutions.
Contribute to technical designs data mappings and runbooks.
Provide mentorship and support capability uplift through chapter/guild activities.
6. Continuous Improvement & Stakeholder Engagement
Identify opportunities for reusability and reducing integration friction.
Translate business requirements into technical solutions clearly and effectively.
Required Capabilities Qualifications & Experience
Capabilities
Cloud-native integration services: serverless containers pub/sub orchestration.
Streaming/event-driven platforms (e.g. Kafka).
Programming & scripting: TypeScript Python (preferred) or similar.
Infrastructure as Code: Terraform or equivalent.
CI/CD pipelines: Git workflows automated build/test/deploy (Azure DevOps desirable).
Relational databases (e.g. PostgreSQL) for staging and transformations.
Strong SQL (ETL and query performance tuning).
Graph databases (AWS Neptune highly desirable).
AWS Glue with PySpark for large-scale processing.
Experience
Proven end-to-end delivery of cloud-based data integration solutions.
Data modelling profiling and source-to-target mapping.
Strong DevOps/DataOps practices (version control monitoring automation).
File-based integration design and operations.
Agile squad experience.
Strong documentation and stakeholder engagement skills.
Experience
Hybrid work model
Melbourne CBD location
Salary range: 190K 210K
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
