Manager, Data Engineering - Canada

Zenni is experiencing rapid growth in the affordable eyewear space, and data is at the core of our success. We are seeking a Manager of Data Analytics with a strong technical background and deep business domain expertise to partner closely with our Engagement Marketing team.

In this leadership role, you will bridge the gap between complex data architecture and strategic marketing initiatives. You will be responsible for translating large datasets into clear, actionable insights, empowering our cross‑functional teams to make confident, informed decisions. By building robust data solutions and fostering strong collaboration across departments, you will directly impact our operational efficiency and drive revenue growth. If you are a collaborative leader who excels at leveraging data to solve real‑world business challenges, this could be the next move for you. This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering.

Responsibilities

• Champion data literacy: Provide ongoing training and support to the Engagement Marketing team, ensuring complex data concepts are seamlessly communicated and understood.
• Drive cross‑functional alignment: Act as the strategic bridge between the Data and Engagement Marketing teams, streamlining communication to boost operational efficiency and collaboration.
• Power marketing platforms: Integrate enriched, highly trusted data with key business platforms (e.g., Google, TikTok, Meta) to optimize ad delivery and AI performance.
• Ensure data integrity: Own the lifecycle of data feeds, encompassing validation, monitoring, testing, and proactive alerting, to guarantee uncompromising data quality and reliability.
• Define success metrics: Partner with functional teams to establish a shared, accurate understanding of the core metrics that drive organizational performance.
• Shape the data roadmap: Lead the strategic planning for the data team, ensuring technical initiatives directly align with Zenni’s overarching growth objectives.
• Innovate continuously: Stay at the forefront of modern data engineering technologies and industry trends to evolve our strategy and keep our technical capabilities competitive.

Basic Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical discipline.
• 8+ years of dedicated experience in data, coupled with at least 3 years navigating the fast‑paced e‑commerce landscape.
• Deep business domain knowledge across key marketing functions, including but not limited to Performance Marketing, Lifecycle, and Brand marketing.
• Hands‑on experience implementing marketing measurement methodologies, including Last‑Touch, MTA, incrementality testing, MMM, and CVR measurement frameworks.
• Extensive experience designing data architecture, performing complex data modeling, and building scalable ETL/ELT pipelines for centralized data warehouses.
• Advanced fluency in SQL and Python, with the ability to dive deeply into a modern tech stack as a hands‑on contributor.
• Demonstrated success leading projects from start to finish, spanning requirement gathering, cross‑functional stakeholder communication, architecture design, implementation, and QA.
• Proactive leadership and cross‑functional communication skills, with a proven ability to drive business impact.

Preferred Qualifications

• Hands‑on expertise working within Databricks environments.
• Proven track record of guiding and mentoring high‑velocity data teams in a fast‑paced setting.
• Demonstrated success managing complex data integrations, advanced reporting, and platform optimization across diverse marketing channels.
• An enthusiastic, proactive approach to tackling new technical challenges and driving continuous improvement.
• 100% employer‑paid medical, dental, and vision (dependent coverage capped at $300/month).
• Life, AD&D, and disability coverage (with optional add‑ons).
• Company‑matched RRSP contributions up to 4%.
• Lifestyle Spending Account (wellbeing + learning).
• Work‑from‑home stipend (for eligible roles).
• Generous Flexible Time Off in addition to our Week of Zen – the time between Christmas and New Year’s to relax and recuperate.
• Fully Paid Parental Leave – 16 weeks for birthing and non‑birthing parents.
• Family forming & fertility support and services through Maven.
• Annual Zenni Gift Card – to use towards our products.

Compensation

In addition to other forms of compensation like perks and benefits, the estimated range for this role is CAD 163,000 – 185,000. The final offer will be determined based on permissible, non‑discriminatory factors such as skill set, experience, geographic location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

As set forth in Internal Referrals’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.