Senior Data Platform Engineer - Real-Time Pipelines

Internetwork Expert; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Simple Machines is seeking a Senior Data Platforms Engineer to design and build modern, cloud-native data platforms for enterprise clients. You will implement real-time and batch pipelines, work closely with clients, and shape data mesh and governance patterns.

The role is hands-on and requires deep experience across Databricks, Snowflake, and major cloud services. You’ll operate in small, high-caliber teams, delivering production-ready platforms and data products that drive real outcomes for

Qualifications

• Strong Python and SQL skills with hands-on data engineering experience.

Responsibilities

• Build modern, cloud-native data platforms (Databricks, Snowflake, AWS, GCP).
• Develop and optimize batch and real-time data pipelines.
• Operate at scale with production-grade systems.
• Own data storage design and performance across relational and NoSQL stores.
• Implement security, governance, and compliance by design.
• Consult with clients and translate requirements into pragmatic engineering decisions.

Skills

Python

SQL

Spark

Databricks

Snowflake

AWS

GCP

Terraform

Pulumi

GitHub Actions

ArgoCD

dbt

Great Expectations

Soda

Kafka

Flink

Tools

Terraform

Pulumi

GitHub Actions

ArgoCD

dbt

Great Expectations

Soda

Job description

Simple Machines is seeking a Senior Data Platforms Engineer to design and build modern, cloud-native data platforms for enterprise clients. You will implement real-time and batch pipelines, work closely with clients, and shape data mesh and governance patterns.

The role is hands-on and requires deep experience across Databricks, Snowflake, and major cloud services. You’ll operate in small, high-caliber teams, delivering production-ready platforms and data products that drive real outcomes for