Engineering Team Lead, Data Engineer
Canopy, Draper, UT
About Us
Canopy is a fast-growing SaaS company in Draper, Utah building simple, efficient software for accounting firms. We are looking to revolutionize the accounting space with modern, user-friendly software for a neglected industry.
We aim to help our clients unlock the firm they’ve always wanted with our Practice Management Suite. We place a strong emphasis on delighting our customers, spotting and solving problems, and being good people along the way. And we just secured $70M in Series C funding to help us fulfill that mission.
Click here to see why our clients (and investors) love Canopy.
Interested in learning more about Canopy & the industry? Check out our blog here where you can find great information on our product features, industry news, practice management, and more!
The Opportunity
We’re seeking an Engineering Team Lead to lead engineering efforts on our Embedded Analytics team. As an Engineering Team Lead, you will combine deep technical expertise with strong leadership and a product-driven mindset. You’ll lead a high-performing, cross-functional squad of Full Stack Application Engineers, Data Engineers, and QA Engineers to build, scale, and evolve the systems that power our customer-facing reporting and analytics features. This role bridges hands-on technical work, architectural leadership, and people development — ideal for someone who thrives at the intersection of technology, strategy, and team impact.
This role is a unique opportunity to guide the transformation of our embedded analytics into a new era of AI enabled business intelligence, providing high performing, trustworthy, and actionable reporting and analytics to our customers at a higher scale and speed than has been possible before.
What You’ll Do
Lead, mentor, and grow a cross-functional engineering and data team, fostering a culture of technical excellence, ownership, and collaboration.
Own end-to-end delivery of your squad's product area — from early involvement in product discovery and design validation through implementation, testing, deployment, and post-ship monitoring. You will own the stack, working collaboratively with systems architects to design the most effective data and analytics platform.
Write code, review code, and architect solutions. You understand the codebase deeply enough to make informed tradeoffs and unblock your team.
Partner with the Product team as a collaborative equal — validating technical feasibility early, pushing back when scope is unrealistic, and advocating for quality and stability as first-class priorities alongside new features.
Balance feature work against bugs, tech debt, performance, and reliability. Work collaboratively with Product leadership to allocate engineering time towards the stability and high performance needs of our customers.
Drive architectural decision-making, balancing innovation, scalability, and delivery speed.
Promote engineering best practices, including clean architecture, testing, monitoring, and performance optimization.
Help the team break work down, manage flow, and ensure design, engineering, and QA operate in parallel rather than in sequential phases.
Champion high-quality code through design reviews, code reviews, and robust CI/CD pipelines (Docker, GitHub Actions, Kubernetes). Own the definition of "done" — tested, stable, monitored, and maintainable.
Coach engineers on career growth, system design, and effective collaboration. Because you work alongside your team daily, feedback is immediate, specific, and grounded in real work.
Drive AI and agentic coding tool adoption within your squad — leading by example, partnering with the Platform team on standards and guardrails, and helping your team understand how to use AI effectively while avoiding common pitfalls.
Build an inclusive and motivated team culture centered on transparency, ownership, and impact.
Collaborate with recruiting to attract and retain top engineering…