Senior Consultant – Data & Solution Architect, MS Fabric

Posted 16 hours ago

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About the role

  • Senior Data Architect designing Microsoft Fabric, Azure, and lakehouse ecosystems for Keyrus’ intelligent enterprise solutions. Guiding 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)
  • 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, event-driven, and cloud integration patterns
  • 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, scalable deployments across multiple environments
  • Provide technical leadership and mentorship to Data Engineers, Analysts, and multidisciplinary delivery teams
  • 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
  • Experience with enterprise platforms such as Workday, Dynamics 365, Business Central, Microsoft Graph, Salesforce, or SAP is nice-to-have
  • Exposure to AI, modern data architectures, microservices, or cloud-native application design is nice-to-have
  • Microsoft Azure or related architecture certifications are nice-to-have
  • Ability to connect business strategy with scalable cloud and data engineering solutions
  • Ability to lead executive conversations while maintaining technical credibility with engineering teams
  • Consulting mindset and structured, pragmatic approach to client challenges
  • Ability to communicate clearly, challenge constructively, and provide technical leadership to multidisciplinary teams

Benefits

  • 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
  • A stimulating environment where you will be able to surpass yourself and discover new horizons
  • A strong culture of innovation and entrepreneurship

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AzureCloudMicroservicesSpark

Location requirements

HybridMontrealCanada

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