Data Engineering Manager — Remote & AI‑Driven Analytics

Commonsku-1; Toronto; Remote; CAD 212,000 - 240,000; Full time

Benefits offered by this job

Remote-first culture

Health and dental benefits

Healthcare spending account

RRSP/TFSA contributions

HQ and summits

Job summary

commonsku is hiring an Engineering Manager, Data to lead our Data team in building reliable data pipelines, delivering actionable reporting, and guiding technical strategy. You’ll collaborate with Product Management, Design, Customer Success, and other engineering groups in a high-trust environment.

You’ll mentor data engineers and analysts, set data quality standards, and help scale analytics across the organization while advocating for data privacy and security.

Qualifications

• 7+ years of hands‑on experience in data engineering or analytics, alongside 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 to effectively review solutions and guide technical direction.
• Demonstrated capability in roadmap planning, project scoping, and cross‑functional stakeholder management.
• Excellent written and verbal communication skills, with a track record of translating complex technical concepts for non‑technical partners.
• Comfort working independently and asynchronously, while also prioritizing collaboration and connection with people.
• Experience (or excitement for) working with AI and applying AI tools safely and effectively to data workflows.
• Bonus: Familiarity with SaaS data architectures, Snowflake, or the promotional products industry

Responsibilities

• Own the Data team's roadmap by collaborating with Product Management and business partners to set priorities, clarify requirements, and deliver long-term initiatives.
• Scope and stage complex, cross-functional projects into clear milestones to keep delivery predictable and align with 12–18 month platform needs.
• Lead, mentor, and support a team of data engineers and analysts through regular 1:1s, actionable feedback, and structured career growth.
• Establish standards for data quality, reliability, documentation, and observability across pipelines and reporting to ensure business-wide trust in data.
• Act as a technical thought partner, reviewing designs, applying sound engineering judgment, and setting clear guardrails for data privacy, accuracy, and security.
• Champion agile practices and explore the thoughtful adoption of AI tools within the team for building pipelines, analysis, reporting, and documentation.
• Communicate technical trade-offs, progress, and risks in plain language to technical and non-technical stakeholders across the company

Skills

Data engineering

Data analytics

Roadmap planning

Stakeholder mgmt

Data quality

Observability

AI tools

Tools

SQL

Data modeling

Snowflake

Job description

commonsku is hiring an Engineering Manager, Data to lead our Data team in building reliable data pipelines, delivering actionable reporting, and guiding technical strategy. You’ll collaborate with Product Management, Design, Customer Success, and other engineering groups in a high-trust environment.

You’ll mentor data engineers and analysts, set data quality standards, and help scale analytics across the organization while advocating for data privacy and security.