Engineering Manager (Data Cloud)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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