Principal Data Platform Engineer (AI)

TL;DR

Principal Data Platform Engineer (AI): Responsible for technical direction, platform design, and architectural decision-making for greenfield data platforms and real-time pipelines. Focus on designing scalable data ecosystems using data mesh, data products, and data contracts and ensuring platforms are secure, compliant, and production-grade by design.

Location: Remote

Company

hirify.global is a global, independent technology consultancy operating across Sydney, New Zealand, London, Poland and San Francisco that designs and builds 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.
• Work with streaming and event-driven tech such as Kafka, Flink, and Kinesis.
• Implement secure, compliant data solutions with security by design.
• Work directly with clients to understand problems and shape solutions.

Requirements

• 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.
• Infrastructure-as-code experience (Terraform, Pulumi).
• CI/CD pipelines using tools like GitHub Actions and ArgoCD.

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.