Senior Analytics Engineer

Spring Financial; Vancouver; Hybrid; CAD 120,000 - 140,000; Full time

Job summary

A rapidly growing fintech company in Vancouver seeks a Senior Analytics Engineer to architect and govern comprehensive data solutions. This hybrid role involves leading analytics initiatives and mentoring engineers while collaborating with various stakeholders. The ideal candidate has extensive experience in data architecture, expert SQL skills, and a strong understanding of modern data stacks. The position offers a competitive salary of $120,000 to $140,000, alongside comprehensive benefits and growth opportunities.

Benefits

Competitive salary

Comprehensive benefits package

GRSP matching program

Transit allowance

Ongoing career growth opportunities

Qualifications

• Extensive experience designing and implementing dimension/star schemas in a modern data stack.
• Proven experience leading the design and governance of large-scale semantic layer implementations.
• Effective and responsible use of AI-assisted tools in development workflows.

Responsibilities

• Architect, govern, and evolve curated data marts and semantic layer models across multiple business domains.
• Lead cross-functional initiatives to unify metrics, resolve inconsistencies, and improve data product scalability.
• Drive adoption of observability, testing, and governance practices across the analytics engineering team.

Skills

Expert-level SQL skills

Experience with DBT and Snowflake

Mentoring and conducting code reviews

Strong communication skills

Tools

DBT

Snowflake

Tableau

Job description

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 options—we’re here to change that. As one of Canada’s fastest‑growing fintech companies, annually we help 1 million customers explore their financing options with ease—online, 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 www.springfinancial.ca. 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 company’s 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. You’re 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 you’ll 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:

• 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

What We Will Give You:

• Competitive annual salary ranging from $120,000 to $140,000, reflective of experience and impact.
• Comprehensive benefits package, including extended health, dental, and vision coverage — with 100% of monthly premiums covered by 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

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!