Senior Analytics Engineer

Job Description

Job Description

Salary : $120,000-$140,000 yearly salary + benefits (See below for more details)

About us :

Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.

As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.

To learn more about our products please visit our website here : .

NOTE : This is a full-time, permanent, hybrid position in downtown Vancouver. 3 set days in the office and 2 WFH.

Job Overview :

As a Senior Analytics Engineer at Spring, you are a technical leader and strategic problem-solver who architects the companys curated data marts and semantic layer. You design and govern dimensional models that unify metrics across the organization, decouple business reporting from complex source systems, and enable analysts and business teams to self-serve accurate, consistent data.

You own the design and execution of complex analytics initiatives, making key architectural decisions on how we leverage DBT, Snowflake, and the surrounding modern data ecosystem. Youre skilled at navigating ambiguity, balancing trade-offs between speed and sustainability, and ensuring that our analytics architecture scales with business.

You are an advocate for AI-augmented development, both in how you and your team build and in what the platform enables. You evaluate and integrate new tools to improve productivity, automate documentation, detect anomalies, and accelerate model design. You model responsible AI usage and help others incorporate it thoughtfully into their workflows.

You work across teams to frame business problems, define success metrics, and align data models with business goals. You are a trusted partner to senior stakeholders and analytics engineering leadership, influencing platform strategy by setting modelling and governance standards, mentoring engineers across levels, and guiding the technical direction of the team.

What youll do :

• 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 technical 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 :

What We Will Give You :

Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.

Thank you for your interest! We appreciate your time and look forward to reviewing your application!