
51 - 200 employees
Founded 2013
đź Consulting
đŚ Logistics
đŁ Marketing
đ° 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.
đ October 8
Where this job comes from
Posted on Datatonic's careers page â, not through a job board
First seen by Remote Rocketship October 8
Still open on Datatonic's site. Checked 1 hour ago.

51 - 200 employees
Founded 2013
đź Consulting
đŚ Logistics
đŁ Marketing
đ° 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.
⢠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
⢠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
⢠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
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