This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager, Data Cloud based in Canada.

This role is focused on leading a high-impact engineering team responsible for building and operating a large-scale data platform that powers blockchain intelligence and analytics.

You will guide a team working on real-time streaming systems, data lakehouse architecture, and cloud infrastructure that processes billions of records daily.

The position emphasizes servant leadership, where success is measured by how effectively you enable engineers to do the best work of their careers.

You will play a key role in driving execution, removing organizational blockers, and ensuring predictable delivery of complex data infrastructure initiatives.

A strong focus is placed on engineering excellence, operational reliability, and scalable system design in a fast-moving, high-growth environment.

You will also help shape a culture of curiosity, continuous learning, and strong adoption of AI-powered engineering workflows.

This is a strategic leadership role with significant technical depth and influence over platform direction and engineering maturity.

Accountabilities

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.

Requirements

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. Nice to have: familiarity with blockchain, fintech, or data-intensive domains and interest in cryptocurrency ecosystems.

Benefits

Fully remote work within Canada Competitive compensation package aligned with senior engineering leadership roles Comprehensive health, dental, and wellness benefits Strong emphasis on learning and professional development opportunities Access to modern AI development tools and experimental engineering workflows Equity and long-term incentive programs (depending on role structure) High-impact role influencing global-scale data infrastructure and blockchain intelligence systems Inclusive, diverse, and collaborative engineering culture Flexible work environment with strong autonomy and trust-based leadership model.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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