Senior Data & Solution Architect designing Azure and Microsoft Fabric data platforms for Keyrus clients. Leading lakehouse architecture, integration, optimization, and delivery teams.
Responsibilities
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 or complementary cloud technologies such as Databricks, Snowflake, and Azure Data Services
Design and govern medallion lakehouse architectures (Bronze, Silver, Gold) prioritizing scalability, governance, performance, and data quality
Architect parameterized ingestion frameworks supporting batch and near real-time integrations across databases, APIs, files, streaming platforms, and hybrid environments
Design broader Azure integration architectures connecting data platforms, enterprise applications, APIs, and cloud services using Azure Integration Services
Define scalable and secure API-based, messaging, and event-driven integration patterns across the Azure ecosystem
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 for reliable, automated, and scalable deployments across multiple environments
Provide technical leadership and mentorship to Data Engineers, Analysts, and multidisciplinary delivery teams
Continuously evaluate emerging technologies and recommend innovative approaches that strengthen client data and cloud ecosystems and business capabilities
Requirements
7+ years of experience in Data Engineering, Cloud Data Platforms, or Modern Data Architecture roles
Deep hands-on expertise with Microsoft Fabric or complementary cloud technologies, including medallion lakehouse architectures, ingestion frameworks, semantic models, and performance optimization
Advanced understanding of data warehouse, lakehouse, and cloud-native architecture patterns
Experience designing solutions using Azure Integration Services, including Logic Apps, Azure Functions, Service Bus, and/or API Management
Strong understanding of enterprise integration patterns across APIs, messaging, event-driven architectures, and cloud services
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 and cloud platforms
Ability to combine technical depth with a consulting mindset
Ability to move comfortably between business conversations and technical design
Ability to balance scalability, security, maintainability, cost, and business value
Clear communication, constructive challenge, and technical leadership for multidisciplinary teams
Nice-to-haves: experience with Workday, Dynamics 365, Business Central, Microsoft Graph, Salesforce, or SAP
Nice-to-haves: exposure to AI, modern data architectures, microservices, or cloud-native application design
Nice-to-haves: Microsoft Azure or related architecture certifications
Benefits
A stimulating environment where you will be able to surpass yourself and discover new horizons
A strong culture of innovation and entrepreneurship
Opportunities to celebrate success through team activities, social events, and special celebrations
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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