Lead Data Platform Engineer – Cloud-Native & Real-Time

Simple Machines 3; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Simple Machines in Sydney is seeking a hands-on Principal Data Platforms Engineer to drive technical direction, platform design, and architectural decision-making for modern, cloud-native data platforms.

You will lead end-to-end data pipelines, work with Databricks, Snowflake, AWS and GCP, and mentor teams to raise data quality, security, and production readiness while delivering real client outcomes.

Qualifications

• Strong Python and SQL expertise.
• Extensive Spark and data platforms experience (Databricks / Snowflake).
• Proficient with cloud data services (AWS or GCP).
• Proven ownership of large-scale data platform architectures.
• Strong data modelling and architectural judgement.
• Ability to balance performance, cost, and complexity.
• Experience building and operating large-scale data pipelines.

Responsibilities

• Lead Platform & Architecture Design.
• Build Modern Data Platforms.
• Develop High-Performance Pipelines.
• Work at Scale.
• Own Data Storage & Performance.
• Cloud, Security & Governance.
• Consult and Influence.
• Technical Leadership & Quality.

Skills

Python

SQL

Spark

Databricks

Snowflake

AWS

GCP

Data mesh

Data contracts

Data products

Tools

Terraform

Pulumi

GitHub Actions

ArgoCD

dbt

Great Expectations

Soda

Airflow

Dataflow

Glue

Job description

Simple Machines in Sydney is seeking a hands-on Principal Data Platforms Engineer to drive technical direction, platform design, and architectural decision-making for modern, cloud-native data platforms.

You will lead end-to-end data pipelines, work with Databricks, Snowflake, AWS and GCP, and mentor teams to raise data quality, security, and production readiness while delivering real client outcomes.