Data Platform Engineer, Data Infrastructure & Services

Job summary

Build and operate a Transportation & Logistics data platform on Google Cloud Platform, spanning cloud infrastructure, platform tooling, and data engineering. The role uses Terraform and CI/CD to automate infrastructure, supports migration from AWS and Azure, develops batch and streaming data capabilities, and implements governance, observability, recovery, and cost controls, with AI tools used to accelerate delivery and operations.

Qualifications

• Ability to read, reason about, and debug code, data pipelines, and infrastructure across multiple layers.
• Foundational knowledge of AWS, Azure, or GCP, with capability or willingness to specialize in GCP.
• Hands-on experience with declarative Infrastructure as Code, state management, and CI/CD pipelines.
• Working knowledge of modern data platforms and tools such as BigQuery, Redshift, Airflow, Cloud Composer, Pub/Sub, Kafka, Dataflow, or dbt.
• Use AI tools to accelerate delivery and critically validate their output.
• Apply pragmatic judgment to operational, security, privacy, and architecture decisions.

Responsibilities

• Own platform outcomes from design through production.
• Build and maintain reusable Terraform modules and automated CI/CD pipelines.
• Support migration of workloads, storage, and pipelines from AWS and Azure to GCP.
• Design, deploy, and optimize data platform components and batch and streaming workflows.
• Implement automated security, privacy, compliance, and risk controls.
• Maintain observability, documentation, decision records, deployment evidence, and runbooks.
• Use AI coding assistants and LLM workflows for automation, troubleshooting, documentation, and code reviews.
• Manage cloud costs through labeling, capacity monitoring, cost controls, and lifecycle practices.

Skills

Industry

Relocation