Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
About the role
- Senior Analytics Engineer at Spring Financial, architecting data models and guiding analytics initiatives. Collaborating across teams to unify metrics and improve data product scalability.
Responsibilities
- Architect, govern, and evolve curated data marts and semantic layer models across multiple business domains
- Define and enforce standards for dimensional/star schema design, DBT project organization, testing, documentation, and naming conventions
- Lead cross-functional initiatives to unify metrics, resolve inconsistencies, and improve data product scalability and maintainability
- Translate complex, ambiguous business needs into clear, reusable, and technically sound data products
- Collaborate with data analysts, data scientists, and business stakeholders to ensure models serve current and future analytical needs
- Review and guide the work of other analytics engineers, providing mentorship and technical direction
- Drive adoption of observability, testing, and governance practices across the analytics engineering team
- Evaluate and integrate AI-assisted tooling for development, documentation, and anomaly detection. Ensuring responsible and effective use aligned with governance standards
Requirements
- Extensive experience designing and implementing dimension/star schemas in a modern data stack (dbt, Snowflake, Hex, Tableau)
- Expert-level SQL skills, including complex transformations and performance optimization within DBT
- Proven experience leading the design and governance of large-scale semantic layer implementations
- Ability to translate ambiguous business problems into structure, well-modeled data products
- Strong track record of mentoring, conducting code reviews, and raising technical standards across a team
- Experience establishing governance frameworks for metrics, testing, and data product lifecycle management
- Effective and responsible use of AI-assisted tools in development workflows
- Excellent communication and collaboration skills; a trusted advisor across engineering and business teams.
Benefits
- Comprehensive benefits package, including extended health, dental, and vision coverage — with 100% of monthly premiums covered by the Spring.
- GRSP matching program to support your long-term financial goals.
- Transit-Friendly Employer (Transit allowance).
- A modern, collaborative workspace in the heart of downtown Vancouver.
- Ongoing career growth opportunities
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