Remote Data Platform Engineering Manager – Lead & Build

Booksy Inc.

Town of Poland (NY)

On-site

USD 180,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Remote‑first company culture
Global teams across markets
Office access optional depending on市场

Job summary

Booksy Inc. is seeking an Associate Data Platform Engineering Manager to lead a small, high‑impact team while remaining hands‑on on critical platform work.

You will design Terraform/Terragrunt modules on Google Cloud, champion data security controls, and create self‑service tools for downstream data teams to build with confidence. We value leadership, a platform‑as‑a‑product mindset, strong English communication, and experience with real‑world data workflows in a distributed, remote‑first

Qualifications

  • 5+ years in data platform, infrastructure, or DevOps with people leadership.
  • Extensive IaC experience using Terraform/Terragrunt, preferably on Google Cloud Platform.
  • Strong knowledge of GCP data services (BigQuery, Cloud Composer, GKE, IAM) and CI/CD pipelines.

Responsibilities

  • Lead a small 2–3 person platform engineering team; coach and drive agile delivery.
  • Design reliable Terraform/Terragrunt modules on GCP; promote security controls and governance.
  • Build self‑service developer tools for downstream data teams to operate confidently.
  • Collaborate with stakeholders to ensure platform reliability and customer enablement.

Skills

Leadership
Terraform/Terragrunt
GCP data services
CI/CD pipelines
Platform security
English fluency

Tools

Terraform
Terragrunt
GitLab CI
Docker
Kubernetes
BigQuery
Cloud Composer
GKE
IAM

Job description

Booksy Inc. is seeking an Associate Data Platform Engineering Manager to lead a small, high‑impact team while remaining hands‑on on critical platform work.

You will design Terraform/Terragrunt modules on Google Cloud, champion data security controls, and create self‑service tools for downstream data teams to build with confidence. We value leadership, a platform‑as‑a‑product mindset, strong English communication, and experience with real‑world data workflows in a distributed, remote‑first

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