Datatonic
Head of Technology Agentic Platform, AMER
Canada, Remote. Posted a month ago
The role
You will own the design and delivery of enterprise-scale Google Cloud platforms for clients. You will lead the practice, build reusable templates, and design platforms for scaling data products and AI agents.
What you will do
- Own reference architectures for Google Cloud landing zones, data platforms, MLOps and Data & AI platforms.
- Build and evolve a library of reusable platform templates and accelerators.
- Define standards, patterns and guardrails for how use cases are built.
- Deploy data products and AI agents at scale using automated deployment and governance.
- Design consumption layers for people and machines including APIs and MCP servers.
- Design, build and deploy agents to help run the platform.
- Embed FinOps practices and build telemetry to connect cost to business value.
- Lead client conversations, scope builds, and presentations.
- Deliver platform-related revenue and business outcomes.
Required qualifications
- Deep, hands-on expertise designing and delivering Google Cloud landing zones, enterprise data platforms, MLOps and Data & AI platforms in production.
- Track record of building reusable templates, blueprints and golden paths.
- Experience taking multiple data products and/or AI agents from prototype to production at scale.
- Understanding of semantic layers, BI tooling, APIs and agent-facing interfaces such as the Model Context Protocol (MCP).
- Practical experience or a strong point of view on building or deploying agents to automate platform operations.
- Experience implementing FinOps frameworks and observability/telemetry.
- Strong grounding in cloud security, identity, networking, infrastructure-as-code, CI/CD and production operations.
- Experience leading teams while staying hands-on.
- Strong presentation capabilities with a history of advising senior client stakeholders.
- Ability to navigate ambiguity and manage competing priorities under tight timelines.
Nice to have
- Hands-on experience within Google Cloud (GCP) environments.
- Background working within high-growth startups, scale-ups, or modern enterprise transformation environments.
- Google Cloud Professional certifications (e.g. Cloud Architect, Data Engineer, Machine Learning Engineer).
Benefits
- 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
- CAD $70/month for internet/phone expenses
- CAD $1,500 every 3 years for tech accessories and office equipment starting on Day 1
- Company-supplied MacBook Pro or Air
- CAD $400/year for books, relevant app subscriptions or an e-reader
About the company
Datatonic is a UK-based company with an Americas division located in Canada. They are Google Cloud's premier partner in AI, focusing on machine learning, data engineering, and analytics on Google Cloud.