
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.
🔥 13 hours ago
Where this job comes from
Posted on Datatonic's careers page, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on Datatonic's site. Checked 1 hour ago.

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.
• Design and lead target architectures across cloud, data and application estates on Google Cloud • Prototype, write infrastructure as code, review pull requests and unblock engineering teams on difficult technical problems • Own system boundaries, failure modes, security, cost, operability and architectural evolution • Resolve architectural trade-offs across Platform, Data, Analytics, AI, Software and UX • Act as design authority on complex engagements and ensure delivered systems are secure, reliable and maintainable • Line manage and develop a team of architects, including career conversations, performance reviews and growth plans • Coach architects and discipline leads while leaving delivery ownership with them • Set architecture standards, reference patterns and decision-record practices across projects and regions • Grow architecture capability through hiring, training, communities of practice and design reviews • Match architects to engagements with delivery leadership • Shape solution architecture, estimates and proposals in pre-sales • Build trusted relationships with senior client stakeholders, from engineering leads to CTOs • Shape service propositions and represent Datatonic as a technical authority at events and with Google Cloud • Use and maintain engineering agents for option analysis, decision-record drafts, consistency checks, threat assessments and cost assessments, including versioning, evaluation, operation and continuous improvement
• Extensive hands-on experience designing and building production systems on Google Cloud, or AWS/Azure with a strong interest in GCP • Proven depth in at least one engineering discipline—platform, data, software or ML engineering—at Senior 2 / L5 or above • Evidence of systems design across networking, security, IAM, data platforms and application architecture • Comfortable with infrastructure as code, such as Terraform • Comfortable with CI/CD, containers and Kubernetes • Proficiency in at least one programming language, such as Python • Experience leading, mentoring or line managing engineers or architects • Experience raising the bar for a whole team • Client-facing architecture leadership with senior stakeholders, including pre-sales and solution shaping • Ability to explain complex trade-offs clearly to technical and non-technical audiences, in writing and in person • Google Cloud certifications such as Professional Cloud Architect or similar • Experience with multi-cloud, hybrid or complex integration environments • Experience applying formal architecture methods, such as TOGAF, in complex delivery environments • Experience architecting ML platforms, generative AI applications or agentic systems in production • Experience in a consultancy or professional services environment
• 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 • Company-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
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