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Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesSQL
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