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C

Engineering Manager, Data

commonsku

. Own the Data team's roadmap with Product Management and business partners .

Posted 10/22/2026full-timeRemote • CanadaSeniorLead💰 CA$150,000 - CA$170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in data engineering and analytics, with a strong focus on leading teams, project management, and implementing data quality standards. Proficient in SQL, data modeling, and the adoption of AI tools to enhance data workflows.

Highest-signal resume keywords
Data EngineeringTeam LeadershipSQLRoadmap PlanningAI Tools Adoption

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data ModelingData PipelinesReporting ToolsProject ScopingData Quality Standards
Soft Skills
Written CommunicationVerbal CommunicationMentoringFeedback ProvisionCollaboration
Tools & Technologies
SnowflakeAI ToolsAgile PracticesSaaS Data Architectures
Industry Keywords
Data PrivacyData AccuracyData SecurityPromotional Products Industry

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Own the Data team's roadmap with Product Management and business partners
  • Set priorities, clarify requirements, and deliver long-term initiatives
  • Scope and stage complex cross-functional projects into clear milestones
  • Align projects with 12–18 month platform needs
  • Lead, mentor, and support data engineers and analysts
  • Conduct regular 1:1s, provide actionable feedback, and support structured career growth
  • Establish standards for data quality, reliability, documentation, and observability
  • Review designs and provide technical guidance
  • Set guardrails for data privacy, accuracy, and security
  • Champion agile practices
  • Explore thoughtful adoption of AI tools for pipelines, analysis, reporting, and documentation
  • Communicate technical trade-offs, progress, and risks to technical and non-technical stakeholders

Requirements

What you’ll need
  • 7+ years of hands-on experience in data engineering or analytics
  • 2+ years of experience leading engineering teams, managing performance, and supporting career growth
  • Solid technical foundation in SQL, data modeling, data pipelines, and reporting tools
  • Demonstrated capability in roadmap planning, project scoping, and cross-functional stakeholder management
  • Excellent written and verbal communication skills
  • Track record of translating complex technical concepts for non-technical partners
  • Comfort working independently and asynchronously while prioritizing collaboration and connection
  • Experience or excitement for working with AI and applying AI tools safely and effectively to data workflows
  • Familiarity with SaaS data architectures, Snowflake, or the promotional products industry is a bonus
  • Eligible to work in Canada, excluding Quebec

Benefits

Comp & perks
  • 5% annual bonus opportunity based on company performance
  • Remote-first culture with in-person experiences
  • Company-wide closure between December 25th and January 1st
  • Health and dental benefits
  • $1,000 healthcare spending account
  • RRSP/TFSA contributions up to $3,000 a year with no employee contribution required
  • Twice-yearly company-wide summits
  • Equal opportunity workplace
  • Learning, potential, and diversity of thought valued