Lead Architect

Harvey Nash; Canada; Remote; CAD 187,000 - 210,000; Full time

Job summary

A leading technology consulting firm is seeking a remote Lead Architect in Canada. This role demands 15+ years of software engineering experience and a strong background in data systems, distributed architecture, and cloud-native platforms like AWS, GCP, or Azure. The ideal candidate will have excellent communication skills and the ability to influence teams. You will design and deliver scalable systems, and mentor engineers in a remote production environment.

Qualifications

• 15+ years of software engineering experience, including 5+ years in senior or architectural roles.
• Deep expertise in data systems, distributed architecture, and AI/ML infrastructure.
• Strong experience with cloud-native platforms and modern frameworks.

Skills

Software engineering

Data systems expertise

Cloud-native platforms (AWS, GCP, Azure)

API design

Event-driven systems

CI/CD practices

Excellent communication

Collaboration skills

Tools

Python

React

TypeScript

Job description

Base pay range

$187.00/yr - $210.00/yr

Job Title

Job Title: Lead Architect

Job Location

Job Location: 100% remote anywhere in Canada

Employment type

Full-time

Seniority level

Mid-Senior level

Job function

Information Technology, Consulting, and Engineering

Industries

Information Services and Telecommunications

What You Bring

• 15+ years of software engineering experience, including 5+ years in senior or architectural roles.
• Deep expertise in data systems, distributed architecture, and AI/ML infrastructure.
• Strong experience with cloud-native platforms (AWS, GCP, or Azure) and modern frameworks (e.g., Python, React, TypeScript, or similar).
• Proven ability to design and deliver scalable, maintainable systems in production environments.
• Strong understanding of API design, event-driven systems, data modeling, and CI/CD practices.
• Excellent communication and collaboration skills with the ability to influence across teams and levels.

Preferred

• Experience integrating AI/ML systems into production environments.
• Experience with data pipelines, warehouses, or streaming systems.
• Track record of mentoring engineers and guiding system-level technical decisions.
• Experience in SaaS, fintech, or enterprise product environments.