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1 день назад

Engineering Manager (Data Cloud)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Manager (Data Cloud): Leading a team to build and operate real-time streaming pipelines and a data lakehouse with an accent on scalability, engineering excellence, and AI adoption. Focus on removing blockers, coaching growth, and ensuring the reliability of petabyte-scale blockchain data infrastructure.

Location: Remote (Ontario, Canada)

Company

hirify.global provides complete knowledge of blockchain activity through data, services, and solutions to help organizations navigate blockchains safely and with confidence.

What you will do

  • Lead, coach, and develop a team of 6 engineers spanning streaming, data lakehouse, and platform infrastructure.
  • Own quarterly planning and sprint-level execution, translating OKRs into clear milestones and timelines.
  • Champion engineering best practices, including design reviews, ADRs, and automated testing.
  • Drive AI adoption across engineering workflows to enhance productivity, code quality, and debugging practices.
  • Manage on-call rotations and incident response processes to ensure stability without consuming team capacity.
  • Hire exceptional talent with a focus on diversity and raising the technical bar of the organization.

Requirements

  • Experience managing 5–10 engineers building data infrastructure, data platforms, or backend systems at scale.
  • Strong software or data engineering background with the ability to review Terraform plans and streaming architectures.
  • Proven track record of coaching engineers toward promotion and maintaining high team retention.
  • Ability to communicate technical decisions to executive leadership and write concise incident summaries.
  • Must be based in Ontario, Canada.
  • Genuine curiosity about cryptocurrency and blockchain technology.

Nice to have

  • Knowledge of Spark, Databricks, Kafka, Delta Lake, or Iceberg.
  • Experience with cloud cost optimization and FinOps practices.
  • Background in blockchain, fintech, or other data-intensive domains.
  • Hands-on experience with AI coding assistants such as Claude Code, GitHub Copilot, or Cursor.

Culture & Benefits

  • Global organization with a distributed team across the UK, Denmark, Canada, and the USA.
  • Culture rooted in servant leadership, curiosity, and continuous learning.
  • Strong commitment to diversity, equity, and inclusion.
  • Environment designed to help engineers do the best work of their careers by removing organizational noise.

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