Senior Cloud Data Engineer Google Cloud Platform GCP
Senior Cloud Data Engineer Google Cloud Platform GCP
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Job Description
Senior Cloud Data Engineer Google Cloud Platform (GCP) ACT & NSW Hybrid- Baseline Clearance
We are seeking a results-oriented Senior Cloud Data Engineer (Google Cloud Platform) to join a high-performing team delivering scalable and robust data engineering solutions. This is an opportunity to work in a federally aligned data program supporting enterprise-scale data infrastructure with a strong emphasis on data governance pipelines and agile delivery. You will be responsible for leading data engineering efforts mentoring others and shaping the future of our cloud-native data platforms.
Key Duties:
- Translate complex functional and technical requirements into detailed technical designs and engineering solutions.
- Design develop test and maintain scalable data pipelines ELT/ETL frameworks and data storage solutions on Google Cloud Platform (GCP).
- Lead and mentor a team of data engineers and developers driving excellence and continuous improvement in delivery.
- Build and maintain DataOps automation and CI/CD pipelines for data infrastructure.
- Deliver Data Management artefacts including Data Strategies Business Glossaries Data Quality Rules and Governance Principles.
- Present technical data artefacts to stakeholders and contribute to showcases and executive briefings.
- Support concurrent project releases within hybrid delivery environments using Agile SAFe and ITIL frameworks.
- Ensure performance tuning reliability and security of data products across cloud environments.
- Contribute to and enforce data governance and security compliance policies.
Key Responsibilities:
- Collaborate with cross-functional stakeholders (Executives Product Design Technical) to understand data-related business requirements.
- Manage the full lifecycle of cloud-native data engineering projects.
- Monitor and optimize data workflows for cost efficiency performance and resilience.
- Ensure data quality and integrity through validation governance and observability practices.
- Design and maintain high-performance BigQuery datasets integrate with services like Dataflow Cloud Storage and Dataprep.
Essential Experience:
- Proven experience in data engineering on Google Cloud Platform including BigQuery Dataflow Dataprep Cloud Storage and Cloud Composer.
- Strong background in designing and implementing ELT/ETL pipelines data lakes and data warehousing solutions.
- Hands-on expertise in building scalable CI/CD pipelines and automating infrastructure through DataOps methodologies.
- Solid experience working in hybrid delivery environments Agile SAFe ITIL or Waterfall.
- Track record of producing and managing enterprise data artefacts and data management strategies.
- Demonstrated ability to work with multidisciplinary teams and provide technical leadership.
- Strong communication and stakeholder engagement skills particularly in a large complex environment.
Desirable Skills:
- Experience in data governance security compliance and metadata management.
- Familiarity with scripting and automation tools (e.g. Python Terraform Bash).
- Experience in multi-cloud or hybrid cloud environments particularly with cross-platform data flows.
- Exposure to public sector or large enterprise data transformation programs.
- Knowledge of MDM business intelligence reporting (e.g. Looker Tableau) and advanced analytics tools.
Location:
- Canberra (ACT) or Sydney (NSW) Flexible hybrid arrangements available
- Baseline or higher security clearance is advantageous
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Employment Type
Full Time
