Senior Managing Consultant

⭐ 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-timeWHAT 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 roadmapsLead 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 technologiesDefine architectural standards, reusable accelerators, modernization frameworks, and engineering best practices across the Data Engineering practiceProvide architectural governance across multiple engagements, ensuring consistency, quality, delivery excellence, risk management, and margin optimizationLead and scale the Data Engineering practice by strengthening capabilities, mentoring consultants, and establishing technical standardsContribute to technical pre-sales, solution design, and go-to-market initiatives while developing industry-specific offerings and modern data use casesCollaborate closely with strategic technology partners to align solution strategies, leverage platform evolution, and create differentiated client offeringsLead multidisciplinary consulting teams, providing technical leadership, coaching, and career development for Data Engineers and ConsultantsDrive the adoption of AI capabilities across existing data platforms, modern analytics ecosystems, and client solutionsContinuously evaluate emerging cloud and data technologies, translating innovation into practical business outcomesWHO YOU ARE: You see data engineering as a strategic business capability rather than simply a technology disciplineYou naturally balance executive leadership with deep technical expertise and hands-on architectural guidanceYou enjoy mentoring teams, establishing engineering standards, and creating scalable consulting practicesYou thrive in client-facing environments where business strategy and technology decisions intersectYou are comfortable leading multiple complex engagements while maintaining delivery excellence and commercial awarenessYou continuously explore new cloud, data, and AI technologies and translate them into practical client solutionsYou inspire collaboration, ownership, and continuous improvement across multidisciplinary teamsWHAT YOU BRING: Qualifications / CertificationsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field8+ years of experience in Data Engineering, including 5+ years in Senior Consultant, Principal Consultant, Technical Lead, or Technical Project Management leadership rolesProven experience leading enterprise consulting engagements and multidisciplinary delivery teamsMicrosoft Fabric, Databricks, Snowflake, Azure, or cloud architecture certifications are considered an assetTechnical SkillsDeep hands-on expertise designing and optimizing enterprise data platforms using Databricks, Microsoft Fabric, Snowflake, and Azure Data ServicesStrong experience architecting scalable data pipelines, lakehouses, and modern cloud-native analytics platformsProven ability to define and govern enterprise architecture standards across Fabric, Databricks, Snowflake, and Azure ecosystemsStrong understanding of modern analytics architectures including data warehouses, data lakes, and lakehouse patternsExperience designing modernization frameworks, reusable engineering accelerators, and technical governance modelsAbility to oversee multiple concurrent delivery teams while ensuring quality, performance, commercial success, and client satisfactionExperience leading technical pre-sales activities, solution design workshops, and strategic proposalsStrong leadership capabilities with experience mentoring consultants and building high-performing engineering teamsExperience enabling AI capabilities within enterprise data platforms and modern analytics ecosystemsNice-to-haveExperience working with dbt and modern transformation frameworksKnowledge of DataOps, MLOps, and enterprise Data Governance strategiesExperience collaborating with strategic technology alliances and partner ecosystemsExposure to advanced AI-driven analytics and intelligent data platformsExperience contributing to practice development, capability building, and go-to-market strategyWhat Makes You SuccessfulExceptional communication skills, with the ability to influence executives, technical leaders, and multidisciplinary teamsComfortable leading strategic architecture discussions and executive client engagementsBrings a consultative mindset that balances technical excellence with business outcomes and commercial objectivesDemonstrates strong leadership through mentorship, governance, and collaborative decision-makingExcels at managing multiple priorities while maintaining delivery quality, client trust, and team engagementBuilds credibility through technical expertise, strategic thinking, and a relentless focus on measurable business valueThe expected base compensation for this position ranges from $130,000 to $160,000 CAD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.WHAT WE OFFER AT KEYRUS: A stimulating environment where you will be able to surpass yourself and discover new horizonsA strong culture of innovation and entrepreneurshipTeam celebrations, social events, birthdays, breakfasts, and special activitiesGroup insurance for you and your family membersRRSP and DPSP participation plansMonthly Wellness AllowanceTelecommunication reimbursementFlexible work-from-home policy4 weeks of paid vacationLanguage courses (French & English)Access to continuous learning through conferences, certifications, training programs, and industry eventsABOUT KEYRUSAt Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence.Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:Intelligence FoundationsHuman in Command governancePerformance SteeringTo create intelligent environments where technology amplifies human capabilities and performance compounds over time.With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.AI does not transform businesses. Architected intelligence does.Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).For more information: www.keyrus.com