Software Engineer (Python) - Data Platform (Open to remote across ANZ)

4 Months ago • 3-5 Years • Data Analyst

Job Summary

Job Description

Canva seeks a Software Engineer (Python) for their Data Platform team. This role involves designing and implementing a declarative infrastructure management framework for Canva's data platform (Snowflake and AWS), enabling self-service data pipeline and analytics development. Responsibilities include building automated governance, uplifting data access controls, improving testing strategies, contributing to team growth, and engaging the data community. The ideal candidate has 3-5+ years of experience in Python development, experience with modern cloud-based data platforms (Snowflake and AWS preferred), and a strong understanding of data governance principles.
Must have:
  • 5+ years Python development experience
  • Experience with Snowflake & AWS
  • Data platform infrastructure experience
  • Testing framework improvement
  • Data governance experience
  • Clean, maintainable code
Good to have:
  • Analytical SQL experience
Perks:
  • Equity packages
  • Inclusive parental leave
  • Annual Vibe & Thrive allowance
  • Flexible leave options

Job Details

Job Description

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point.

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

About the group

You will be joining the Data Platform Group, in the Infrastructure Super Group at Canva.

The Data Platform Group aims to enable significant, scalable and sustainable value via data and insights, through building a world-class data platform and empowering Canvanauts with efficient & effective data capabilities. The Group is responsible for building Canva’s innovative data infrastructure, platforms and services that enable Canva to deliver high impact outcomes to our customers and our business.

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

Role Responsibilities: 

  • Design and implementation of a declarative infrastructure management framework for Canva’s data platform (Snowflake and AWS) to enable self-service data pipeline and analytics development by Canva’s data community
  • Build out automated governance for data platform across all data workloads
  • Uplift & iterate data access controls framework towards finer grain controls and policy based access controls
  • Improve development practices through improvement to testing strategies and frameworks
  • Contribute towards the growth of data platform teams, incl. hiring, onboarding, training of the fellow engineer
  • Contribute towards up/cross skill training on usage of data platform in Canva’s data community
  • Uplift engineering practices, especially on engineering, architecture and documentation
  • Engage data community to improve data platform capabilities and tooling
  • Proactively search and identify opportunities, shape and lead data platform initiatives to achieve material business value

Required Experience:

  • You have five-plus (3-5+) years of commercial experience developing complex applications in Python
  • Architecture and design experience for modern MPP cloud-based data platform and warehouse, Snowflake and AWS preferred
  • Implementing data platform infrastructure resource management framework using Infrastructure as Code declaratively (e.g. Terraform)
  • Experience improving testing frameworks and strategies, e.g. unit testing and integration testing
  • Prior experience building, uplifting data governance capabilities, incl.: managing lineage, classification, treatment, access control, sovereignty, and etc.
  • You have extensive experience in developing clean, readable, and maintainable code; The libraries and tools developed by the team are used by hundreds of developers at Canva so they need to be easily understandable.
  • You are comfortable with computer science and engineering fundamentals: concurrency, data structures

Nice to have:

  • Prior experience in data processing using Analytical SQL

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

  • Equity packages - we want our success to be yours too
  • Inclusive parental leave policy that supports all parents & carers
  • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
  • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!

Please note that interviews are conducted virtually.

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