Role Detailsđź“Ť
Location: Hybrid - Toronto or Montreal, Canada (2 days per week at the office)
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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
Locations Montréal, Toronto Remote status Hybrid
