Architect modern data ecosystems that enable organizations to transform raw information into scalable intelligence
Combine deep engineering expertise with consulting leadership to define target-state architectures, guide delivery teams, and help clients build cloud-native data platforms designed for long-term business impact
Collaborate with client stakeholders to translate business objectives into scalable target-state data architectures and strategic roadmaps
Architect end-to-end data platforms, lakehouses, and pipelines using Microsoft Fabric and complementary cloud technologies such as Databricks, Snowflake, and Azure Data Services
Design and govern medallion lakehouse architectures (Bronze, Silver, Gold) that prioritize scalability, governance, performance, and data quality
Optimize pipeline and query performance through Spark tuning, partitioning strategies, shortcuts, and incremental loading techniques
Design and optimize semantic models, including star schemas, DirectLake and Import strategies, DAX optimization, relationships, and aggregations
Define and implement CI/CD strategies that enable reliable, automated, and scalable deployments across multiple environments
Provide technical leadership and mentorship to Data Engineers, Analysts, and multidisciplinary delivery teams while ensuring architectural alignment
Continuously evaluate emerging technologies and recommend innovative approaches that strengthen client data ecosystems and business capabilities

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
7+ years of experience in Data Engineering, Cloud Data Platforms, or Modern Data Architecture roles
Minimum 2 years of experience serving as a Data Architect or Technical Lead delivering end-to-end solutions
Microsoft Fabric, Azure, Databricks, Snowflake, or cloud architecture certifications are considered an asset
Deep hands-on expertise with Microsoft Fabric, including medallion lakehouse architectures, ingestion frameworks, semantic models, and performance optimization
Strong experience with at least one additional modern data platform such as Databricks, Snowflake, or Azure Data Factory
Advanced understanding of data warehouse, lakehouse, and cloud-native architecture patterns
Experience designing hybrid data integration strategies across on-premises and cloud environments
Expertise optimizing Spark workloads, partitioning strategies, incremental loading, and scalable data pipelines
Experience designing semantic models using star schema principles, DirectLake, Import strategies, DAX optimization, and aggregations
Experience implementing CI/CD pipelines and deployment automation for enterprise data platforms
Proven ability to present, defend, and guide architectural decisions with senior client stakeholders
Experience working within Agile and Scrum delivery environments

Comprehensive group insurance for you and your family
RRSP and DPSP participation plans
Monthly Wellness Allowance
Telecommunication reimbursement
4 weeks of paid vacation
Language courses (French & English)
Access to continuous learning through certifications, conferences, training programs, and industry events

Senior Consultant – Data & Solution Architect

Key skills