Head of Platform

Job not on LinkedIn

🔥 1 minute ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

👻 Ghost score 11%

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Datatonic

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💼 Consulting

📦 Logistics

📣 Marketing

💰 Pre Seed Round on 2013-01

Consulting • Logistics • Marketing

Datatonic is your go-to AI partner that addresses complex business challenges through advanced cloud data and AI consultancy. They offer a range of services including generative AI applications for various industries such as Retail, Telecommunications, Gaming, and Financial Services. With a focus on data-driven decision-making and analytics, Datatonic empowers businesses to optimize their operations and enhance customer engagement across multiple sectors.

📋 Description

• 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