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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 uphold software engineering best practices, including clean code, CI/CD, automated testing, and version control
- Explore and integrate new tools to enhance data capabilities and operational efficiency
- Support marketing team with automation strategies and monitor automations
- Build on automation and AI to improve lead management
- Develop and scale marketing technology infrastructure to industry standards
Requirements
- Experience in designing, building, and maintaining core data infrastructure and martech stacks to support marketing and sales goals.
- Proficiency in developing and optimizing robust data pipelines, automations, and integrations between CRM, marketing platforms, and data warehouses.
- 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 of and experience implementing 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 APIs; 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 is highly valued.
- Understanding of web application backend-frontend processes; working knowledge of JavaScript is required, with experience in React being a plus.
- Commitment to writing clean, maintainable code, with experience in CI/CD, automated testing, and version control using Git.
- A curious and collaborative problem-solver mindset 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.
Benefits & Perks
Fully remote working environment
Personal learning and development budget of 2,000 USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at sprints
Priority Pass for travel and travel upgrades for long haul company events
Base salary dependent on location, experience, knowledge, and skills
Additional benefits and rewards including annual bonuses and sales incentives (may vary by role and location)
Ready to Apply?
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