Senior Data Engineer - Customer Signals & Instrumentation
New
Remote-first work environment across Canada, the US, and the UK.Full-TimeSenior
Salary121,600 - 190,000 CAD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLJavascriptSnowflakeTypeScriptData engineeringLooker
Requirements
- 5+ years of experience in data engineering, customer data platforms, or event-driven data infrastructure in production environments.
- University degree in Computer Science, Engineering, or a related STEM field, or equivalent practical experience.
- Proven experience working with customer data infrastructure, including event pipelines, instrumentation systems, or data collection frameworks.
- Hands-on experience evaluating, implementing, or migrating Customer Data Platforms in real-world environments.
- Strong understanding of schema design, event taxonomy, and data quality best practices.
- Experience with identity resolution, cross-domain tracking, and attribution systems at scale.
- Familiarity with privacy-compliant tracking, consent management systems, and tag management tools (e.g., OneTrust, GTM Server-Side).
- Strong proficiency in SQL and JavaScript/TypeScript, with Python as a strong asset.
- Experience working with cloud data warehouses and analytics tools (e.g., Snowflake, Looker).
- Ability to communicate complex technical concepts clearly across cross-functional teams.
- Collaborative mindset with the ability to define and drive standards.
- Comfortable using AI tools for daily engineering and development workflows.
Responsibilities
- Design, build, and maintain end-to-end customer data infrastructure, including event collection systems, pipelines, and integrations.
- Define and evolve instrumentation standards across engineering, product, and marketing to ensure consistency.
- Own and improve the data collection layer, including CDP tooling, ingestion infrastructure, and event tracking systems.
- Lead identity resolution and attribution modeling across fragmented customer journeys.
- Develop and enforce schema governance and data quality frameworks.
- Design privacy-compliant tracking systems in coordination with consent management and tag management platforms.
- Partner with marketing, analytics, BI, product, and engineering teams to support campaign tracking and growth measurement.
- Evaluate and improve existing instrumentation and event pipelines.
- Contribute to tooling strategy, including CDP evaluation and pipeline modernization.
- Establish review and governance processes for new events and data sources.
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