About the role

Managing Consultant specializing in Data Engineering at Keyrus, providing strategic data solutions with a focus on innovation and client collaboration.

Responsibilities

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 manage 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.

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 expertise designing 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
Experience in client-facing roles, with involvement in pre-sales and proposals, and the ability to leverage market insights in client and partner conversations
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.

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