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.

Bachelor’s in computer science, IT, or related field
10+ years of experience in data engineering, including 5+ years in a senior, principal, or architect-level 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.

Health insurance for you and your family members
401K plan
Monthly Wellness Allowance
4 weeks of paid vacation
Language courses (French & English)
Access to continuing education (in-house, conferences, events, courses, certifications, etc.)

Managing Consultant, Data Engineering

Key skills