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 continuously explore new cloud, data, and AI technologies and translate them into practical client solutions
You inspire collaboration, ownership, and continuous improvement across multidisciplinary teams
WHAT YOU BRING:
Qualifications / Certifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
8+ years of experience in Data Engineering, including 5+ years in Senior Consultant, Principal Consultant, Technical Lead, or Technical Project Management leadership roles
Proven experience leading enterprise consulting engagements and multidisciplinary delivery teams
Microsoft Fabric, Databricks, Snowflake, Azure, or cloud architecture certifications are considered an asset
Technical Skills
Deep hands-on expertise designing and optimizing enterprise data platforms using Databricks, Microsoft Fabric, Snowflake, and Azure Data Services
Strong experience architecting scalable data pipelines, lakehouses, and modern cloud-native analytics platforms
Proven ability to define and govern enterprise architecture standards across Fabric, Databricks, Snowflake, and Azure ecosystems
Strong understanding of modern analytics architectures including data warehouses, data lakes, and lakehouse patterns
Experience designing modernization frameworks, reusable engineering accelerators, and technical governance models
Ability to oversee multiple concurrent delivery teams while ensuring quality, performance, commercial success, and client satisfaction
Experience leading technical pre-sales activities, solution design workshops, and strategic proposals
Strong leadership capabilities with experience mentoring consultants and building high-performing engineering teams
Experience enabling AI capabilities within enterprise data platforms and modern analytics ecosystems
Nice-to-have
Experience working with dbt and modern transformation frameworks
Knowledge of DataOps, MLOps, and enterprise Data Governance strategies
Experience collaborating with strategic technology alliances and partner ecosystems
Exposure to advanced AI-driven analytics and intelligent data platforms
Experience contributing to practice development, capability building, and go-to-market strategy
What Makes You Successful
Exceptional communication skills, with the ability to influence executives, technical leaders, and multidisciplinary teams
Comfortable leading strategic architecture discussions and executive client engagements
Brings a consultative mindset that balances technical excellence with business outcomes and commercial objectives
Demonstrates strong leadership through mentorship, governance, and collaborative decision-making
Excels at managing multiple priorities while maintaining delivery quality, client trust, and team engagement
Builds credibility through technical expertise, strategic thinking, and a relentless focus on measurable business value
The 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 horizons
A strong culture of innovation and entrepreneurship
Team celebrations, social events, birthdays, breakfasts, and special activities
Group insurance for you and your family members
RRSP and DPSP participation plans
Monthly Wellness Allowance
Telecommunication reimbursement
Flexible work-from-home policy
4 weeks of paid vacation
Language courses (French & English)
Access to continuous learning through conferences, certifications, training programs, and industry events
ABOUT KEYRUS
At 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:
To 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
