Clients and market

• Pre-sales: Shape solution architecture, estimates and proposals, especially where estate design carries the risk.
• Client leadership: Build trusted relationships with senior client stakeholders, from engineering leads to CTOs.
• Thought leadership: Help shape service propositions and represent Datatonic as a technical authority at events and with Google Cloud.

Working with agents

You will use agents throughout engineering delivery and maintain the agents that support the architecture discipline, including their versioning, evaluation, operation and continuous improvement. This covers agents for option analysis, decision-record drafts, consistency checks against established patterns, and initial threat and cost assessments.

What you'll bring

• Cloud architecture depth: Extensive hands-on experience designing and building production systems on Google Cloud (or AWS/Azure with a strong interest in GCP).
• Engineering foundation: Proven depth in at least one engineering discipline (platform, data, software or ML engineering) at Senior 2 / L5 or above.
• Demonstrated breadth: Evidence of systems design across disciplines, including networking, security, IAM, data platforms and application architecture.
• Hands-on skills: Comfortable with infrastructure as code (e.g. Terraform), CI/CD, containers and Kubernetes, and at least one programming language such as Python.
• Team leadership: Experience leading, mentoring or line managing engineers or architects, and raising the bar for a whole team.
• Client leadership: Client-facing architecture leadership with senior stakeholders, including pre-sales and solution shaping.
• Communication: Ability to explain complex trade-offs clearly to technical and non-technical audiences, in writing and in person.

Bonus points if you have

• Google Cloud certifications: Professional Cloud Architect or similar.
• Complex estates: Experience with multi-cloud, hybrid or complex integration environments.
• Architecture methods: Experience applying formal architecture methods (e.g. TOGAF) in complex delivery environments.
• AI and data platforms: Experience architecting ML platforms, generative AI applications or agentic systems in production.
• Consultancy background: Experience in a consultancy or professional services environment.

What's in it for you?

We believe in empowering our team to thrive, with benefits including:

• 20 days of paid vacation per calendar year
• Public Holidays for your Province of Residence
• 5 Wellness days (sickness, personal time, mental health)
• 5 Lifestyle days (religious events, volunteer day, sick day)
• Matching Group Retirement Savings Plan after 3 months
• Competitive Group Insurance plan on Day 1 - individual premium paid 100%!
• Virtual Medicine and Family Assistance Program - 100% employer-paid!
• Home office budget - We are 100% remote!CAD $70/month for internet/phone expensesCompany-supplied MacBook Pro or Air
• CAD $400/year for books, relevant app subscriptions or an e-reader.
• Opportunities for paid certifications
• Opportunities for professional and personal learning through Udemy Business
• Regular company off-sites and meetups

Why Datatonic?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.