Location: Hybrid mode (Toronto or Montreal)
ABOUT THE ROLE:
Keyrus North America (NORAM) is seeking a full-time
Senior Managing Consultant (Data Engineering)with strong experience in Snowflake, Microsoft Fabric, Databricks and Azure. and modern cloud data platforms. This role combines architectural oversight, multi-project delivery and leadership, practice governance, and strategic contributions to our NORAM go-to-market priorities.
Reporting into our NORAM management team, this is a leadership role with both strategic and hands-on responsibilities, ideal for someone who wants to influence our go-to-market, shape our engineering standards, and guide complex technical projects.
At Keyrus, every day is a chance to innovate and make an impact. You will:
- Collaborate with clients to understand business objectives and technical requirements to translate them into effective data solutions.
- Lead end-to-end delivery of data initiatives: design, build, and optimize scalable data pipelines, data lakes and architectures using Databricks, Fabric, and other modern cloud tools (Snowflake, Azure Data Services, etc.).
- Define architectural patterns, reusable accelerators, and modernization frameworks using Databricks, Fabric, Snowflake, Azure, DBT and emerging technologies.
- Provide architectural governance and oversee multiple engagements to ensure consistency, quality, and alignment with best practices. Proactively managing risks, resourcing, and margin protection.
- Lead and scale the data engineering practice, including capability building and setting technical standards.
- Contribute to technical pre-sales, shape solution offerings, and support industry-specific use-case development.
- Collaborate closely with our partners to align solutions, stay ahead of platform evolution, and build differentiated offerings for our clients.
- Manage a technical team, providing guidance, mentoring, and support to ensure successful delivery and development of team members.
- Enable the use and adoption of AI capabilities within existing data platforms and solutions.
Required Qualifications & Experience:- Bachelor's in computer science, IT, or related field
- 8+ years of experience in data engineering, including 5+ years in senior consultant, principal, or Technical Project Management leadership role, ideally within a consulting environment
- Hands-on expertisedesigning and optimizing data pipelines and architectures using Databricks, Microsoft Fabric, Snowflake, and Azure Data Services (Data Factory, Synapse, ADLS)
- Proven experience defining and governing enterprise-scale architectures across Fabric, Databricks, Snowflake, and Azure
- Strong understanding of modern analytics architectures (data warehouse, data lake, lakehouse), with the ability to guide clients toward the right approach based on business needs
- Experience overseeing multiple concurrent project teams while driving delivery excellence and margin accountability
- Strong leadership with excellent communication skills,able to influence C-level stakeholders and lead strategic technical conversations
- Experience managing and mentoring a team of consultants or data engineers, ensuring high-quality delivery and continuous skill development
- Experience in client-facing roles is desired with involvement in pre-sales and proposals, and the ability to leverage market insights in client and partner conversations
What we offer - A stimulating environment where you will be able to surpass yourself and discover new horizons
- A strong culture of innovation and entrepreneurship
- Many occasions to celebrate your success : 5 @ 7, team activities, birthdays, breakfasts and other special events
- Group insurance for you and your family members;
- RRSP and DPSP participation plan
- Monthly Wellness Allowance
- Reimbursement of telecommunication costs
- Flexible work from home policy
- 4 weeks of paid vacation
- Language courses (French & English)
- Access to continuing education (in-house, conferences, events, courses, certifications, etc.)
- Development plan for each employee and coaching
Locations Montréal, Toronto Remote status Hybrid
