Remote SaaS Data & AI Engineering Lead

Harvey Nash Group; Canada; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading technology consultancy is seeking a Data & AI Engineering Manager to lead teams in building scalable data and AI products in a SaaS environment. The role combines technical leadership and people management, emphasizing AI capabilities and data excellence. Candidates should have 6+ years in software engineering, including 2+ in management, alongside experience with Python, Databricks, Azure, and Kubernetes. This remote role in Canada focuses on driving innovation and fostering a high-trust culture.

Qualifications

• 6+ years of software engineering experience, including 2+ years in a direct people management role.
• 3–5 years of experience working on Data and/or AI Engineering teams.
• Strong experience building modern SaaS data products using Python, Databricks, Azure, and Kubernetes.
• Proven expertise with Data Lakehouse architectures and data governance.
• Solid understanding of Data Science concepts, including Machine Learning.

Responsibilities

• Lead, mentor, and develop a team of Data and/or AI Engineers.
• Drive the design and evolution of scalable data and AI architectures.
• Oversee the development of customer-facing data products.
• Guide teams through complex system design and data governance.
• Champion modern AI practices, including Machine Learning and Generative AI.

Skills

Software engineering experience

People management

Data and/or AI Engineering

Python

Databricks

Azure

Kubernetes

Data governance

Machine Learning

Generative AI

Agile mindset

Tools

Databricks

Apache Spark

Azure

Kubernetes

Job description

A leading technology consultancy is seeking a Data & AI Engineering Manager to lead teams in building scalable data and AI products in a SaaS environment. The role combines technical leadership and people management, emphasizing AI capabilities and data excellence. Candidates should have 6+ years in software engineering, including 2+ in management, alongside experience with Python, Databricks, Azure, and Kubernetes. This remote role in Canada focuses on driving innovation and fostering a high-trust culture.