Job Description

We are seeking an experienced Solution Designer / Lead Data Engineer to drive a high-priority transformation initiative: uplifting and modernizing our enterprise Data Ingestion framework on Google Cloud Platform (GCP).

In this dual-capability role, you will combine high-level architectural design with deep data engineering expertise. You will take ownership of defining scalable, secure, and event-driven data pipeline architectures that process massive volumes of batch and streaming data from diverse sources into GCP. If you excel at bridging complex business data requirements with up-to-date cloud-native architectures, this is a career-defining prospect to shape an enterprise data platform from the ground up.

What You’ll Be Doing
Framework Modernization: Design and architect the next-generation, enterprise-wide GCP Data Ingestion framework, transitioning legacy ingestion patterns toward real-time, scalable, and automated cloud workflows.
Solution Architecture & Design:



Author comprehensive End-to-End Solution Design Documents (SDDs), technical blueprints, data mapping specifications, and ingestion patterns across batch and streaming sources.
Pipeline Engineering Leadership: Provide hands-on technical leadership and guidance to data engineering squads building robust ingestion pipelines using GCP-native data services.
Data Integration & Governance: Design secure ingestion interfaces connecting on-premises databases, SaaS platforms, third-party APIs, and streaming event hubs into BigQuery and Cloud Storage.
Quality & Security Assurance: Embed automated data quality validation, lineage tracking, encryption, and governance controls (IAM, Data Catalog, DLP) directly into the ingestion lifecycle.
Performance & Cost Optimization: Evaluate system throughput, optimize data pipeline efficiency, reduce latency, and govern compute/storage costs across GCP data environments.

📌 Solution Designer / Lead Data Engineer Google Cloud Sydney
🏢 NCS Australia
📍 Sydney