Global SDLC practice leader turning Valiantys’ Atlassian, DevOps, and AI expertise into scalable professional services solutions. Building regional teams, reusable IP, and AI - enabled software delivery transformation.
About the role
- Head of Platforms leading Google Cloud data and AI platform strategy, delivery, and operations for Datatonic’s Americas clients. Building scalable data products, AI agents, and FinOps capabilities.
Responsibilities
- Own the design and delivery of enterprise-scale Google Cloud platforms for clients in AMER
- Lead the platform practice while remaining close to implementation
- Own reference architectures for Google Cloud landing zones, enterprise data platforms, MLOps, and Data & AI platforms
- Build and evolve reusable platform templates, infrastructure-as-code modules, CI/CD pipelines, data product blueprints, and agent blueprints
- Define standards, patterns, guardrails, playbooks, training, and developer experience for platform use cases
- Enable deployment and operation of data products and AI agents at scale through automation, environment management, data contracts, evaluation, testing, observability, security, and governance
- Design consumption layers including semantic layers, BI/reporting tools, APIs, and MCP servers
- Design, build, and deploy agents for incident triage, cost anomaly detection, access requests, policy/configuration drift, and routine operations
- Embed FinOps practices and reporting that connect platform costs to business value and use-case ROI
- Serve as ultimate business owner for platforms in AMER
- Lead client conversations, scope builds, deliver presentations, and drive platform-related revenue and business outcomes
Requirements
- 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 that measurably accelerated use case delivery
- Experience taking multiple data products and/or AI agents from prototype to production at scale, including deployment automation, evaluation, monitoring and governance
- 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 with Vertex AI / Agent Development Kit
- Experience implementing FinOps frameworks and observability/telemetry connecting cloud spend to business outcomes and use case ROI
- Strong grounding in cloud security, identity, networking, infrastructure-as-code such as Terraform, CI/CD and production operations
- Experience leading teams while remaining hands-on enough to shape designs and unblock delivery
- Strong presentation capabilities and demonstrated history of advising senior client stakeholders
- Ability to navigate ambiguity, manage competing priorities under tight timelines, and take ownership of project outcomes
- Hands-on experience within Google Cloud environments
- Background in high-growth startups, scale-ups, or modern enterprise transformation environments
- Google Cloud Professional certifications are preferred, including Cloud Architect, Data Engineer, or Machine Learning Engineer
- Candidates must be located anywhere in Canada
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, with 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
- Company-supplied MacBook Pro or Air
- CAD $400/year for books, relevant app subscriptions or an e-reader
- Opportunities for paid certifications
- Regular company off-sites and meetups
Job title
Job type
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Salary
Not specified
Degree requirement
No Education Requirement
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