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Senior Consultant - Data & Solution Architect; MS Fabric)

Job in Montreal, Montréal, Province de Québec, G4F, Canada
Listing for: Keyrus
Full Time, Part Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Azure
Salary/Wage Range or Industry Benchmark: 110000 - 160000 CAD Yearly CAD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Senior Consultant - Data & Solution Architect (MS Fabric)
Location: Montreal

Why Keyrus, Why Now!  Why Keyrus, Why Now!  Keyrus is an international group of  2,800 consultants  and experts across  28 countries , built on a single conviction:  AI does not transform businesses. Architected intelligence does.  For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value:  we ope rationalise intelligence .
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills—you will develop judgment. Your expertise sharpens with every architecture you design, every platform you modernize, and every client challenge you solve.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, cloud, AI, and business decision-making s is not a role you fill. It is a discipline you master and a story you help write to become  a Keyrus Architect of Intelligence .
Technology amplifies.  Keyrus culture differentiates.  Industrial discipline connects the two.
Role Details

Location:

Hyrbid - Montreal, Canada (2 days per week at the office)

Contract:

Permanent, Full-time
What You'll Architect  As a  Senior Consultant - Data & Solution Architect , you will architect modern data ecosystems that enable organizations to transform raw information into scalable intelligence. Combining deep engineering expertise with broader Azure cloud and solution architecture capabilities, you will 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, lake houses, 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) that prioritize 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 such as Logic Apps, Azure Functions, Service Bus, and API Management.
Define scalable and secure integration patterns across the Azure ecosystem, including API-based, messaging, and event-driven architectures.
Optimize pipeline and query performance through Spark tuning, partitioning strategies, shortcuts, and incremental loading techniques.
Design and optimize semantic models, including star schemas, Direct Lake 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 and cloud ecosystems and business capabilities.

Who You Are   You see data architecture as the foundation that enables intelligent organizations rather than simply supporting analytics.
You naturally connect business strategy with scalable cloud and data engineering solutions.
You are comfortable…
Position Requirements
10+ Years work experience
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