Senior Software Developer, Data Platform - Canada

Build something people love · Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing and expensive and make them transparent and low-cos ...

Job description

Build something people love Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. We're the largest fintech company in Canada, with 3+ million users who trust us with more than $100 billion in assets. And we're just getting started.
We're looking for someone who thinks big, sweats the small stuff and keeps things simple. You'll join a high-bar, fast-paced team where people are trusted to own their work, communicate openly, and ship things that improve our clients' lives. Collaboration, humility, and an obsession over quality are how we get stuff done.
About the team: The Analytics Platform team is the foundation that empowers our data analysts and data scientists to do their best work. We build the tools, infrastructure, and frameworks that make data work at Wealthsimple fast, reliable, and delightful. Our mission is to turn data complexity into developer productivity.
We're tackling some of the most impactful challenges in data infrastructure: building robust data quality and observability systems, creating intuitive testing frameworks, and enhancing the developer experience for dbt model development. Our work directly enables better, faster decision-making across the entire organization.
This is a collaborative, cross-functional role. You'll partner closely with data analysts and data scientists to understand their workflows and pain points, work with our Data Integrations team on Airflow orchestration challenges, and drive platform improvements that have company-wide impact.
About the role: As a Senior Data Engineer on the Analytics Platform team, you'll be a force multiplier for our entire data organization. You'll design and build tools that make our data practitioners more productive, more confident in their work, and more impactful in their contributions to the business.
You'll own significant platform initiatives from conception to delivery, balancing technical excellence with pragmatic solutions that meet real user needs. This role requires both deep technical expertise and strong collaboration skills—you'll need to understand not just how to build great tools, but what tools to build and why.

What you will do:

• Build developer tools and frameworks that enable data analysts and scientists to work more efficiently and confidently. This includes data quality systems, observability platforms, testing frameworks, and enhanced dbt development experiences.
• Drive cross-team platform initiatives by engaging directly with stakeholders to understand their day-to-day challenges, gathering requirements, and translating them into elegant technical solutions.
• Collaborate closely with the Data Integrations team to solve Airflow orchestration challenges and improve workflow reliability across the data pipeline.
• Design and implement data quality and observability solutions that catch issues early, provide clear visibility into data health, and make debugging faster and easier.
• Enhance the dbt developer experience through better tooling, improved testing capabilities, and streamlined workflows that reduce friction in the model development process.
• Apply software engineering best practices to analytics infrastructure—version control, CI/CD, automated testing, and clear documentation that makes systems maintainable and scalable.
• Champion platform-as-a-product thinking: treat internal data practitioners as your users, gather feedback, measure impact, and continuously iterate to deliver maximum value.

What do you bring:

• 5+ years of experience in data engineering, analytics engineering, or related technical roles with a focus on building tools and platforms.
• Expert-level proficiency in Python—you write clean, maintainable code and understand how to build robust, production-grade systems.
• Proficiency with Kubernetes and container orchestration, including experience deploying and managing data services in production Kubernetes environments. Experience with Helm charts for packaging, versioning, and deploying applications on Kubernetes.
• Strong infrastructure skills, including knowledge of infrastructure-as-code tools (like Terraform or CloudFormation) and cloud platforms (AWS preferred).
• Strong knowledge of dbt and modern analytics engineering practices. You understand not just how to use dbt, but how to make it work better for teams at scale.
• Experience with workflow orchestration tools, particularly Airflow, and an understanding of how to build reliable, observable data pipelines.
• Hands-on experience with modern data warehouses like Redshift and Snowflake, including performance optimization and cost management.
• A product mindset for internal tools: you understand that great developer tools require understanding your users, not just writing code.
• Strong communication and collaboration skills. You can explain complex technical concepts clearly and work effectively with stakeholders across different backgrounds.

Nice to have:

• Experience building data quality, testing, or observability platforms.
• Familiarity with data lineage, cataloging, or metadata management systems.
• Background working in cross-functional or platform engineering environments.
• Experience with large-scale data warehouse migrations or transformations.
• Contributions to open-source data tools or active participation in the data engineering community.

Compensation & Equity Base salary range: For this role, candidates located in Canada can expect a base salary range of CAD $151,200 - $189,000. Actual compensation is determined based on skills, experience, and role level. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role. Total compensation: In addition to base salary, this role includes equity compensation. We use clear job levels and market-based salary bands to ensure compensation is fair and consistent across the company.
Why Wealthsimple?  Top-tier health benefits and life insurance Long-term group savings with employer match using our Wealthsimple for Business platform 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days 90 days away program: Employees can work outside of Canada for up to 90 days per calendar year A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS) We're a remote first team with over 1,500 employees across North America - and one of the best things about working here is the people. You'll be collaborating with incredibly talented, curious, and driven teammates who care deeply about doing great work. 
Be a part of our Canadian success story and help shape the financial future of millions.
Read our Culture Manual and learn more about how we work. 
Technology & Innovation at Wealthsimple We believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We're looking for people who are not just comfortable with change but energized by it. Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future.
DEI Statement At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. 
Accessibility Statement Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.
At Wealthsimple, we want interviews to feel like genuine conversations. To support this, we use AI transcription during recruiter interviews. This allows recruiters to be fully engaged, ask thoughtful follow-up questions, and ensure your experiences are captured accurately. You'll always have the choice to opt in or out before we begin. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.