Senior Growth Engineer

Canonical

Remote

Full Time

Posted April 1, 2026

Not Specified

Remote

~68 people viewed this recently

Apply Now

Application opens on company website

Job Description

A Senior Growth Engineer at Canonical is responsible for designing, building, and maintaining the company's marketing technology infrastructure, including data pipelines, automation systems, and integrations, to support data-driven marketing and sales initiatives in a remote, collaborative environment.

Key Responsibilities

Design, build, and maintain core data infrastructure and martech stack to support marketing and sales goals
Develop and optimize data pipelines, automations, and integrations between CRM, marketing platforms, and data warehouse
Architect and manage APIs for system integration and data flow across the stack
Collaborate with marketing, sales, and product teams to understand needs and develop technical solutions
Implement and promote software engineering best practices, including CI/CD, automated testing, and version control
Explore and integrate new tools to enhance data capabilities and operational efficiency
Support marketing team with automation and AI initiatives to improve lead management

Requirements

Experience in designing, building, and maintaining core data infrastructure and martech stack to support marketing and sales goals.
Proficiency in developing and optimizing robust data pipelines, automations, and integrations between CRM, marketing platforms, and data warehouse.
Ability to architect and manage APIs for seamless system integration and data flow across the entire stack.
Experience collaborating with marketing, sales, and product teams to understand their needs and architect technical solutions.
Knowledge and implementation of software engineering best practices, including clean code, CI/CD, automated testing, and version control.
Experience exploring and integrating cutting-edge tools to enhance data capabilities and operational efficiency.
Ability to support marketing team members with strategic expertise, including setting up and monitoring automations.
Experience building automation and AI solutions to improve lead management.
Proficiency in system design, particularly in the data domain, with a strong understanding of networking, proxies, and data ingress/egress patterns.
Proficiency with cloud data warehousing solutions such as BigQuery, relational databases like Postgres, and object stores like S3.
Knowledge of Docker, Kubernetes, and data stores like Redis is a plus.
Deep knowledge of API architecture and design, with a primary focus on REST; experience with GraphQL is beneficial.
Senior-level knowledge of Python, including object-oriented programming, APIs, asyncio, scientific libraries, and SQL experience with tools like Trino and dbt.
Solid understanding of web application backend-frontend processes, with working knowledge of JavaScript; experience with React is a nice-to-have.
Commitment to writing clean, maintainable code, with experience in CI/CD, automated testing, and version control using Git.
A curious and collaborative problem-solver with a growth mindset, and a keen interest in the commercial domains of marketing and sales.
Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams.