Job Opportunities API

⭐ Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence . AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every platform you modernize, every practice you scale, and every client transformation you help lead. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges cloud architecture, data engineering, AI, and business strategy at enterprise scale. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence . Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Role Details 📍 Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office) 💼 Contract: Permanent, Full-time WHAT YOU'LL ARCHITECT: As a Senior Managing Consultant – Data Engineering , you will architect the future of modern data platforms while leading complex consulting engagements, shaping engineering standards, and growing Keyrus' Data Engineering practice across North America. This role combines strategic leadership, technical architecture, delivery governance, and business development to create long-term value for clients and teams alike. Partner with clients to understand business objectives and translate them into scalable, modern data architectures and transformation roadmaps Lead the end-to-end delivery of enterprise data initiatives, designing and optimizing data pipelines, lakehouses, and cloud-native architectures using Databricks, Microsoft Fabric, Snowflake, Azure, and complementary technologies Define architectural standards, reusable accelerators, modernization frameworks, and engineering best practices across the Data Engineering practice Provide architectural governance across multiple engagements, ensuring consistency, quality, delivery excellence, risk management, and margin optimization Lead and scale the Data Engineering practice by strengthening capabilities, mentoring consultants, and establishing technical standards Contribute to technical pre-sales, solution design, and go-to-market initiatives while developing industry-specific offerings and modern data use cases Collaborate closely with strategic technology partners to align solution strategies, leverage platform evolution, and create differentiated client offerings Lead multidisciplinary consulting teams, providing technical leadership, coaching, and career development for Data Engineers and Consultants Drive the adoption of AI capabilities across existing data platforms, modern analytics ecosystems, and client solutions Continuously evaluate emerging cloud and data technologies, translating innovation into practical business outcomes WHO YOU ARE: You see data engineering as a strategic business capability rather than simply a technology discipline You naturally balance executive leadership with deep technical expertise and hands-on architectural guidance You enjoy mentoring teams, establishing engineering standards, and creating scalable consulting practices You thrive in client-facing environments where business strategy and technology decisions intersect You are comfortable leading multiple complex engagements while maintaining delivery excellence and commercial awareness You c