Principal Data & AI Engineer

Role overview

Key responsibilities

• Establish and oversee enterprise data platforms using Microsoft Azure, Snowflake, and MuleSoft.
• Define scalable, reusable, governed data pipelines and architect enterprise integration services and APIs.
• Lead cloud-native data architectures, including data lakes, warehouses, and semantic data models.
• Set data engineering standards and prioritize products for BI, reporting, analytics, automation, and AI.
• Enable AI and machine learning with governed data; direct RAG, vector search, knowledge retrieval, and AI integration where appropriate.
• Manage real-time and event-driven processing; oversee monitoring, observability, data quality, metadata, and governance.
• Collaborate across business and technology teams and lead the enterprise Data & AI strategy and roadmap.

Required qualifications

• Bachelor’s degree in computer science, engineering, data science, information systems, or related discipline, or demonstrable equivalent experience.
• 8+ years in data engineering, systems integration, software engineering, or related technical disciplines.
• Experience maturing enterprise-scale data platforms and integration solutions; strong Azure and Snowflake experience.
• Hands-on MuleSoft or equivalent enterprise integration platform experience.
• Strong SQL, Python, API, and data orchestration development experience.
• Strong understanding of data architecture, modeling, governance, security, and metadata management.
• Experience supporting analytics, reporting, machine learning, or AI-enabled solutions; ability to work independently in a hands-on engineering role.

Preferred qualifications

• Experience with Microsoft Fabric, Azure Data Factory, Synapse Analytics, Azure AI, Azure OpenAI, or related Microsoft data services.
• Experience with RAG architectures, vector databases, AI agent frameworks, LLM integrations, data cataloging, master data management, or enterprise information governance.

Compensation

• Hiring range is CAD 140,000–170,000 annually; the role is eligible for a management incentive plan.
• Offer assessment considers relevant experience, technical and non-technical skills, education, and certifications.

Security and work eligibility

• Applicants must meet applicable security requirements, including the ability to obtain and maintain Canadian government security clearance.
• Applicants must be eligible to work in Canada; additional security requirements may apply for access to technical data, classified areas, or internationally regulated information.

Benefits

• Full-time employees receive medical, dental, and vision coverage from day one, flexible benefits, emergency travel insurance, and virtual care.
• Benefits include EFAP, onsite fitness facilities, pension contributions, RRSP access, flexible time off, parental leave top-up options, and disability programs.
• The organization offers learning and educational support, mentoring, professional membership reimbursement, onsite parking, employee discounts, and other programs.