Engineering Team Lead, Data Engineer

Canopy
Draper, UT
On-site

Who this role is best for

Geared toward technical leaders comfortable with AI-assisted development and cross-functional team leadership, with a preference for candidates with experience in Utah's SaaS accounting domain.

Best fit for

  • Candidates with leadership experience in data engineering and a strong grasp of analytics platforms
    — “combine deep technical expertise with strong leadership and a product-driven mindset”
  • Individuals who can balance feature delivery with system reliability and performance
    — “Balance feature work against bugs, tech debt, performance, and reliability.”

Things to consider

  • The role demands hands-on technical work alongside leadership responsibilities
    — “This role bridges hands-on technical work, architectural leadership, and people development”
  • Candidates should be able to work across multiple technologies and not limited to one stack
    — “Strong hands-on proficiency in one or more of our core technologies ... with the ability and willingness to learn and work across the stack.”

How to stand out

  • Demonstrate experience in AI-assisted workflows and cross-functional team management
    — “Drive AI and agentic coding tool adoption within your squad”
  • Showcase your ability to lead technical teams and manage complex system design
    — “Proven success leading technical teams and mentoring engineers of varied seniority levels.”
  • Highlight your track record in delivering scalable and reliable analytics systems
    — “Own end-to-end delivery of your squad's product area ... scalable and reliable.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • high-performing, trustworthy, and actionable reporting and analytics
  • end-to-end delivery of product area
Typical background
engineering team leaddata engineer

Skills & requirements

Required

Team LeadershipTechnical ExpertiseProduct-driven MindsetCross-functional Team ManagementCode ReviewArchitectural LeadershipPeople DevelopmentProduct DiscoveryDesign ValidationImplementationTestingDeploymentPost-ship MonitoringClean ArchitectureMonitoringPerformance OptimizationCareer Growth Coaching

Preferred

AI Enabled Business IntelligenceHigh Performance Reporting And Analytics

Stack & domain

Full Stack Application EngineersData EngineersQA EngineersEmbedded AnalyticsAI Enabled Business IntelligenceCustomer-facing ReportingAnalytics FeaturesDockerGithub ActionsKubernetesClean ArchitectureTestingMonitoringPerformance OptimizationLeadershipProduct-driven MindsetCollaborationMentorshipCareer GrowthSystem DesignSaasAccountingPractice Management

About the role

Original posting from Canopy via Greenhouse

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 talent.

Establish performance goals, track key metrics, and ensure operational excellence in delivery.

What We’re Looking For

5+ years of professional experience in software development and/or data engineering, with at least 2 years in a technical leadership or management capacity.

Deep understanding of SQL, data modeling, and analytics/reporting

Experience with cloud platforms and container orchestration (Docker, Kubernetes).

Proven success leading technical teams and mentoring engineers of varied seniority levels.

Experience with or strong enthusiasm for AI-assisted development tools and workflows.

Excellent communication and collaboration skills — able to bridge the gap between technical and non-technical audiences.

Strategic thinker who can connect engineering priorities to product and business outcomes.

Bachelor's degree in Computer Science, Engineering, or equivalent experience

We know many women do not apply for a job if they don't perfectly fit the description. We want you to apply anyway.

Bonus Points If You Have

Deep understanding of microservice architecture, RESTful API design, distributed systems, and modern frontend frameworks.

Strong hands-on proficiency in one or more of our core technologies (Python, Java, Kotlin, TypeScript/React), with the ability and willingness to learn and work across the stack.

Why You Want to Work Here

🌴 Flexible Paid Time Off - you’re actually encouraged to use, plus 10 company holidays! 

❤️‍🩹 Health Benefits - including Medical, Dental, and Vision and an HSA Match. 

💰 401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting.

🧠 Mental Health -  all employees have access to Impact Suite & to our Employee Assistance Program (EAP).

👶 Paid New Parent Leave & Birthing Parent Leave - so you’re able to care for your little ones.

➕ Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage.

🌟 Nectar - our peer-to-peer recognition program to help our employees recognize the amazing work being done by other Canopians!

🥳 Company Events - including monthly company-wide meetings, summer parties, and more.

💡 ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more.

☕ Fully-stocked kitchen - Keto? Vegan? Flexitarian? Mandalorian? We’ve got you covered. 

Our Values

We approach our work every day with a few things in mind:

🔑 Own - We own this place! We focus on outcomes, holding ourselves & each other accountable.

🏆 Win - We win by delighting our customers with the very best products and services.

👍 Do Good - We work hard to be good people!

💡 Embrace Curiosity & Candor - We approach everything with curiosity & we understand that candor is kindness and give the gift of feedback.

Act Startup Fast - We know the best way to become a world-class company is to always act like a tiny startup: fast, hungry, intense, and scrappy. But especially fast.

To learn more about us & our values, click here.

Source: Canopy careers (Greenhouse)

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