Canva

Senior Manager, Analytics Engineering

Canva

full-time

Posted on:

Location Type: Remote

Location: New Zealand

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Job Level

Senior

Tech Stack

SQL

About the role

  • Leading Product Analytics Engineering: Own and lead the Analytics Engineering function for the Product Org, with Product AEs reporting to you and the team expected to grow over time.
  • Driving Analytics Architecture of the Future: Define, own, and evolve Canva’s Product Analytics Engineering architecture, including modular data domains, semantic layers, metrics systems, and AI-ready foundations.
  • Elevating Analytics Engineering (AE) Craft: Set clear standards and best practices for analytics engineering across Product, and coach AEs across levels to consistently deliver high-quality, scalable data assets.
  • Partnering Across Product & Data: Work closely with Product Managers, Data Scientists, Engineers, and Platform teams to translate complex product needs into robust, reusable analytics solutions.
  • Balancing Strategy and Delivery: Combine long-term architectural thinking with pragmatic execution, ensuring AE effort is focused on the highest-impact Product initiatives.
  • Acting as a Technical Leader: Be the senior escalation point for complex analytics problems and represent Analytics Engineering perspectives in Product and Data leadership forums.
  • Enabling Product Decisions: Ensure analytics foundations enable product discovery, experimentation, launches, and long-term strategy, helping teams confidently understand user behaviour, product performance, and the impact of their decisions.
  • Hands-on Where It Matters Most: Get actively involved in complex or high-leverage analytics engineering work, while setting the technical direction for the team.

Requirements

  • Extensive experience across Analytics Engineering, Data Engineering, or Software Engineering roles.
  • Led and coached Analytics Engineering teams, including managing senior engineers and growing teams.
  • Deeply experienced with modern data platforms and tooling (e.g. SQL-based warehouses such as Snowflake, dbt-style transformations, orchestration, and semantic layers).
  • Strong opinions (weakly held) — backed by experience — on data modelling, analytics architecture, and platform scalability and are eager to try new approaches.
  • Comfortable operating at the intersection of technical depth, people leadership, and strategy.
  • Thrive on collaboration and can communicate clearly with both highly technical partners and senior non-technical stakeholders.
  • Care deeply about data quality, reliability, performance, and cost efficiency.
Benefits
  • Equity packages: We want our success to be yours too.
  • Inclusive parental leave policy: Supporting all parents and carers.
  • Annual Vibe & Thrive allowance: Supporting your wellbeing, social connection, office setup, and more.
  • Flexible leave options: Empowering you to recharge and take time for what matters most.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Analytics EngineeringData EngineeringSoftware EngineeringData ModellingAnalytics ArchitecturePlatform ScalabilitySQLData WarehousingOrchestrationSemantic Layers
Soft Skills
LeadershipCoachingCollaborationCommunicationStrategic ThinkingProblem SolvingData Quality FocusReliabilityPerformance OptimizationCost Efficiency