Senior Engineering Manager - Analytics Platform

Role overview

Responsibilities

• Manage, mentor, and grow a team of eight engineers; own team structure and hiring and retention.
• Set platform vision and roadmap for data warehousing, ETL/ELT, foundational datasets, BI tooling, and integrations.
• Prioritize platform work and ensure data integrity, security, privacy, governance, reliability, and operational excellence.
• Manage compute and storage efficiency, monitoring, alerting, and cost tracking.
• Build AI/LLM-powered tools and automation for analytics work.
• Partner with Data Science, Analytics, Finance, and Product Engineering to define priorities.
• Triage production issues, identify preventive improvements, guide architecture and code, and manage infrastructure vendor relationships.

Qualifications

• 8+ years of engineering experience, including 3+ years in engineering leadership.
• Experience building and operating data platforms, including warehouses, ETL pipelines, orchestration, and analytics engineering workflows.
• Strong Python and SQL skills and willingness to write software during onboarding.
• Understanding of performance, capacity, and cost trade-offs; experience resolving production data-system issues at scale.
• Record of building adopted platforms or tooling and developing engineering teams.
• Ability to bring structure to ambiguous cross-functional problems and communicate with technical and non-technical partners.
• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
• Snowflake or another cloud data warehouse, leadership through other managers, and a relevant postgraduate degree are bonus qualifications.

Compensation

• Canada base salary range is CAD 190,500 to CAD 262,000 per year; equity and benefits are also available.
• Actual base pay depends on permissible factors including skills, experience, market demands, and primary work location.

Workplace

• Hybrid employees work in the office three days per week: Tuesdays, Thursdays, and one flexible Monday, Wednesday, or Friday.
• Hybrid in-office roles may work remotely up to four weeks per year.

Benefits and culture

• The employer describes competitive pay, equity, comprehensive benefits, and access to enterprise AI tools.
• The posting highlights meaningful ownership, professional growth, and an inclusive workplace.