
11 - 50 employees
Simple Machines is an Australian based firm of expert consultants at the intersection of data architecture, data engineering, data science and software application development. Our heritage is architecting and engineering highly performant, distributed, data driven platforms and machine learning applications that perform at massive scale. We partner with enterprise, governments and global technology companies to put their data to work in the real world.Simple Machines is a Preferred Confluent consulting and training partner providing specialist consulting services in Kafka. We are also Partners with Databricks and Lightbend, providing training and consulting services in Spark and Scala.
🕒 May 28
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11 - 50 employees
Simple Machines is an Australian based firm of expert consultants at the intersection of data architecture, data engineering, data science and software application development. Our heritage is architecting and engineering highly performant, distributed, data driven platforms and machine learning applications that perform at massive scale. We partner with enterprise, governments and global technology companies to put their data to work in the real world.Simple Machines is a Preferred Confluent consulting and training partner providing specialist consulting services in Kafka. We are also Partners with Databricks and Lightbend, providing training and consulting services in Spark and Scala.
• Own the end-to-end architecture of modern, cloud-native data platforms • Design scalable data ecosystems using **data mesh, data products, and data contracts** • Make high-impact architectural decisions across ingestion, storage, processing, and access layers • Ensure platforms are secure, compliant, and production-grade by design • Design and deliver cloud-native data platforms using **Databricks, Snowflake, AWS, and GCP** • Build and optimise **batch and real-time pipelines** • Process and transform large datasets using **Spark and Flink** • Implement secure, compliant data solutions with **security by design** • Set engineering standards, patterns, and best practices across teams • Act as a trusted technical advisor, not just an order taker
• Strong **Python and SQL** • Deep experience with **Spark** and modern data platforms (Databricks / Snowflake) • Solid grasp of cloud data services (AWS or GCP) • Demonstrated ownership of large-scale data platform architectures • Strong data modelling skills and architectural decision-making ability • Infrastructure-as-code experience (**Terraform, Pulumi**) • CI/CD pipelines using tools like **GitHub Actions, ArgoCD** • Experience in consulting or professional services environments • Comfortable mentoring senior engineers and influencing technical culture
• You’ll work on **interesting, high-impact problems** • You’ll build **modern platforms**, not maintain legacy mess • You’ll be surrounded by senior engineers who actually know their craft • You’ll have autonomy, influence, and room to grow
Apply Now🕒 May 27
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