Senior Analytics Engineer
New
CanadaFull-TimeSenior
Salary129,392 - 155,272 CAD per year
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Job Details
- Experience
- 3–5 years
- Required Skills
- AWSETLGCPData modelingBigQuerydbt
Requirements
- 3–5 years of experience in data modeling and analytics engineering.
- Hands-on experience with dbt and modern ELT/ETL workflows.
- Strong understanding of cloud data environments such as AWS or GCP (preferred).
- Experience building and maintaining data quality tests, unit tests, and validation logic.
- Proven ability to partner with diverse stakeholders, from analysts to business users and engineers.
- Strong communication skills with the ability to explain complex data concepts clearly.
- Experience supporting data enablement through documentation, training, and data cataloging.
- Familiarity with observability, monitoring, or APM domains is a plus.
- Exposure to coding agents or agentic development practices is an advantage.
- Strong analytical thinking, attention to detail, and problem-solving abilities.
Responsibilities
- Own and maintain the data stack architecture and pipelines using tools such as BigQuery, dbt, and Fivetran.
- Ensure data accuracy, accessibility, and consistency across analytics and business functions.
- Collaborate with stakeholders across GTM, Marketing, Finance, Self-Serve, and BizApps to translate business needs into scalable data models.
- Develop and maintain data testing frameworks, quality checks, and validation logic to ensure trust in data outputs.
- Define and enforce best practices for documentation, version control, analytics engineering standards, and data governance.
- Build and improve data processes and workflows, including those leveraging AI-enabled or agentic systems.
- Act as a subject matter expert for data pipelines, tools, and metrics, enabling self-service analytics across teams.
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