Senior Software Engineer, Data Ontario

The Role

We are hiring a Senior Software Engineer to lead data architecture across our platform. This is a senior individual contributor role with two tightly coupled responsibilities: defining and unifying the canonical business data model that underpins our product, and taking ownership of our Click House-based data product, the real‑time data layer powering customer‑facing features.

• Lead the design of shared data models that span product teams, working with engineers and product to align on how the core business concepts of the platform fit together.
• Set the technical direction for our Click House-based data product as it moves into production: ingestion patterns, schema design, query performance, and operational reliability.
• Lead the design and implementation of scalable data contracts, APIs, and integration patterns between services.
• Ship Python/Django code alongside feature teams when the work touches the data layer; review PRs and unblock engineers.
• Establish the patterns and standards for how data flows from our transactional Postgres systems into Click House to power customer-facing features.
• Identify and pay down data architecture tech debt incrementally, in coordination with product teams’ roadmaps.
• Act as the senior technical voice on data architecture, mentoring engineers and improving how we approach data modeling and integration patterns across the organization.

• You bring 10+ years of professional software engineering experience, including a meaningful period operating at Staff or Principal Engineer level, with specialization in data architecture and data-intensive systems.
• You have a strong hands-on engineering background. You write code today and want to keep doing so.
• Experience designing shared data models that span multiple product teams in an enterprise SaaS or regulated environment.
• You have built or operated customer-facing data products (features where customers see and interact with their data) rather than purely internal BI.
• You have strong Python skills; familiarity with Django (or a comparable framework) is a plus.
• You have a track record of driving cross-team technical alignment.
• You have a product mindset: you care about how the data layer shows up in the customer experience, not just whether it is technically correct.
• You are eager to use AI tools to accelerate your own engineering work and inclined to share effective practices with the team.
• You have a genuine interest in mentoring other engineers, both in data architecture and operating effectively at a senior level.
• You have a sensibility for the data correctness, audit, and integrity expectations of regulated industries (finance, healthcare, or similar).
• You are a self-starter, comfortable being the senior data voice at a growing company and flexing across responsibilities as needed.

• You have a background working with contract, document, or unstructured data-heavy domains.

• Own the data architecture of an enterprise SaaS platform used by top-tier financial institutions.
• Shaping the customer-facing data product as it moves into production.
• Senior IC role with broad technical scope, where the decisions you make show up directly in the product.
• Work with a collaborative, product-focused engineering culture at a small enough company that your decisions matter.
• Competitive compensation and benefits. Compensation will be determined based on experience and qualifications.