Engineering Manager, Data Cloud

New

Fully remote work within CanadaFull-TimeManager

SalaryCompetitive compensation package aligned with senior engineering leadership roles

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Job Details

Proven experience managing teams of 5–10 engineers in data platforms, distributed systems, or large-scale backend infrastructure environments.
Strong technical background as a former software or data engineer, with the ability to understand cloud architectures, infrastructure-as-code, and data pipelines.
Experience building and operating large-scale data systems using technologies such as Apache Flink, Kafka, Databricks, Spark, or similar tools.
Solid understanding of cloud infrastructure and modern data stack components including AWS, Terraform, Kubernetes, and CI/CD systems.
Demonstrated ability to develop engineers through coaching, feedback, and performance management leading to career progression and retention.
Strong execution and planning skills, with the ability to identify delivery risks early and maintain predictable project timelines.
Excellent communication skills, able to translate complex technical concepts for executives, engineers, and cross-functional stakeholders.
Experience working in fast-paced, cross-functional environments with Product and Engineering leadership.
Strong interest in AI-assisted engineering workflows and experience using tools such as GitHub Copilot, Claude, or similar.

Lead, coach, and develop a team of 5–10 data and platform engineers working across streaming, lakehouse, and infrastructure domains.
Serve as a servant leader by removing blockers, protecting the team from organizational noise, and enabling high-quality execution.
Own quarterly planning and sprint execution, translating OKRs into clear milestones, ownership, timelines, and measurable outcomes.
Drive engineering excellence through best practices including design reviews, ADRs, automated testing, and data quality standards.
Oversee incident response and on-call processes to ensure operational stability and minimize disruption to engineering delivery.
Partner with Staff Engineers to support technical direction while ensuring clarity, alignment, and execution discipline across the team.
Mentor engineers through structured coaching, feedback, and career development plans, including promotion readiness support.
Hire and grow top engineering talent while fostering diversity, inclusion, and high-performance team culture.
Foster a culture of curiosity, experimentation, and continuous improvement across engineering workflows and system design.
Champion AI adoption in engineering practices, encouraging effective use of AI tools for development, debugging, documentation, and review processes.

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