We are looking for an experienced Platform Engineer to join our Networks Data & Analytics team. You will play a key role in maintaining and evolving a large-scale, cloud-native data platform built on Google Cloud Platform (GCP), supporting data ingestion, processing, and delivery at enterprise scale.

What You'll Work On

Designing and building data lakehouse framework in Big Query while using Python.

- Designing and building CI/CD pipelines from the ground up, including webhook triggers, branch strategies, approval gates, rollback mechanisms, and multi-workplace promotion (Dev , SIT, STG, PreProd , Production). Experience in Gitlab is preferred.
- Architecting and delivering reusable platform frameworks and shared tooling from scratch, not just maintaining them, including pipeline templates, metadata-driven ingestion frameworks, and modular infrastructure stacks
- Managing Infrastructure as Code (IaC) using Terraform across layered cloud architectures
- Driving observability across the platform, dashboards, alerting, and monitoring using Dynatrace and related tooling
- Ensure platform has no vulnerabilities e.g. MFA, Prisma, Nessus, PIAM, MFA, UAM, Encryption etc
- Supporting platform onboarding activities including security scanning setup, IAM/access provisioning, and connectivity requests (firewall rules, SFTP key management, network routing between systems)





Key Skills:Hands on experience in Python and setting up data warehouse framework preferably in native GCP tools.CI/CD: Proven, hands-on experience building CI/CD pipelines from scratch, not just operating existing ones. Must have set up trigger configuration, branch protection, environment promotion gates, and rollback strategies end-to-end (Cloud Build, GitLab CI, or similar)Framework Development: Demonstrated experience designing and building platform frameworks from the ground up, reusable components, shared libraries, and templated tooling that engineering teams build on topofIaC: Terraform for provisioning and managing cloud infrastructureGCP: Working knowledge of core GCP services, Cloud Composer (Airflow), BigQuery, Pub/Sub, Cloud Run/Functions, Artifact Registry, Secret ManagerObservability: Experience with Dynatrace or equivalent monitoring platforms; ability to set up alerting, dashboards, and pipeline health checksPlatform Support: Experience onboarding teams onto platform services including security scanning, access management, and network connectivity/firewall configuration

Good to Have:Understanding of networking concepts, inter-system connectivity, firewall rules, proxy configurations, and data transfer protocols (SFTP, Kafka)Familiarity with Confluent Kafka or event-streaming platforms

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📌 Platform Engineer (New South Wales)
🏢 Acira Consultancy
📍 New South Wales