Lead Data Platform Engineer (GCP)

Quick Facts

• Role: Lead Data Platform Engineer (GCP)

• Work mode: 100% Remote

Description

You will work on a GCP-based data platform, building platform tooling, self-service capabilities, and reusable solutions for Data Engineering, Analytics, and Machine Learning teams. The role focuses on enabling platform and data engineering teams through infrastructure automation, orchestration, and modern software delivery practices.

Responsibilities

• Build reusable platform tooling and self-service capabilities for data engineering, analytics, and ML use cases

• Develop GCP-based data platform components and solutions across the data platform/data product lifecycle

• Implement infrastructure and orchestration using Infrastructure as Code and pipeline tooling

• Apply GitOps and CI/CD practices with source control

Requirements

• Strong commercial Python

• Google Cloud Platform (GCP)

• BigQuery

• Apache Airflow / Cloud Composer

• Terraform / Infrastructure as Code

• GitOps and modern software delivery

• Data Platform / Data Product lifecycle experience

• PySpark and/or Apache Spark

• FastAPI / Pydantic

• CI/CD and source control

• Agile delivery

• Strong communication skills

Benefits

• Remote work (100% remote)