Senior Data Engineer

About Float

Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth.

As one of Canada’s fastest growing companies and top-rated startups in 2025, 2024 and 2023, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple.

At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success.

Float is Canada’s intelligent financial operating system, combining modern financial services and software to help businesses spend, save, and grow. Trusted by more than 7,500 Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts, and industry-leading support, all built in Canada, for Canada. Float recently announced our $85 million Series C, and is backed by world-class investors, including Inovia Capital, Growth Equity at Goldman Sachs Alternatives, OMERS Ventures, and Silicon Valley Bank.

Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada.

We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team.

This is Float's first dedicated data engineering hire. You'll own the Snowflake architecture and ingestion layer end-to-end — the plumbing that carries data from banking partners, card processors, CRM, marketing platforms, and product systems into one clean, reliable, well-governed place.

You’ll work closely with our Analytics Engineer, who owns the dbt and transformation layer, and be the infrastructure backbone our Data Scientists and growing analytics team depend on. Together, you and the Analytics Engineer form the core of a data platform the rest of Float can trust and build on.

We’re at an inflection point. Growing transaction volumes and an expanding product surface mean there's real work to do — and you'll have the scope and ownership to do it properly.

• Own Float's Snowflake architecture end-to-end — organization, cost efficiency, and access controls
• Design and build a real orchestration layer for our ingestion pipelines, replacing ad hoc processes
• Stand up observability and alerting so pipeline failures and data staleness are caught immediately, not downstream
• Introduce data contracts between producer and consumer systems, so upstream changes (new payment rails, new banking products, vendor field changes) stop silently breaking things
• Own the data reliability layer — establish CI/CD pipelines for data code, build data quality checks directly into pipelines, and orchestrate jobs that live outside of ingestion and dbt (ML pipelines, data quality runs, operational workflows), so everything is tested, automated, and deployed consistently
• Partner closely with our Analytics Engineer to keep the ingestion to transformation handoff clean and dependable — and collaborate on lineage tracking and metadata tooling so the broader team has visibility into where data comes from and how it flows
• Develop, document and socialize a target-state data architecture and phased migration roadmap, in partnership with data and engineering leadership.
• Build and maintain…