Solutions Architecture Advisor collaborating with stakeholders on projects such as cloud migrations and system implementations. Engage in technical leadership and support across multiple business sectors.
About the role
- Senior Consultant Data & Solution Architect at Keyrus in Montreal or Toronto, architecting data ecosystems and leading delivery teams with cloud-native technology.
Responsibilities
- 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
Requirements
- 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
Benefits
- 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
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