Principal Data Platform Engineer (AI)

TL;DR

Principal Data Platform Engineer (Data Engineering, Software Engineering and AI): Responsible for technical direction, platform design, and architectural decision-making, focused on building greenfield data platforms, real-time pipelines, and data products for clients who prioritize proper data usage. Focus on shaping modern architectures (data mesh, data products, contracts) and delivering real outcomes. Work in small, high-calibre teams close to both the problem and the client.

Company

hirify.global is a global, independent technology consultancy operating across Sydney, New Zealand, London, Poland and San Francisco, designing and building modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI.

What you will do

• Own the end-to-end architecture of modern, cloud-native data platforms.
• Design scalable data ecosystems using data mesh, data products, and data contracts.
• 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.
• Translate business needs into pragmatic engineering decisions.

Requirements

• Strong Python and SQL skills.
• 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.
• Experience in consulting or professional services environments.
• Infrastructure-as-code experience (Terraform, Pulumi) and CI/CD pipelines.

Culture & Benefits

• Work on interesting, high-impact problems.
• Build modern platforms, not maintain legacy mess.
• Be surrounded by senior engineers who actually know their craft.
• Have autonomy, influence, and room to grow.