Data Architect

Keyrus

Fabric Data Architect designing and optimizing end-to-end data architectures at Keyrus. Collaborating with clients to deliver scalable data pipelines and lead teams through implementations.

Posted 6/19/2026full-timeToronto • 🇨🇦 CanadaSeniorLeadWebsite

Tech Stack

Tools & technologies

AzureCloudSpark

About the role

Key responsibilities & impact

Collaborate with clients to understand business objectives and technical requirements, translating them into target-state data architectures and roadmaps that drive value.
Own the architecture of end-to-end data initiatives: design and guide the build of scalable data pipelines, lakehouses, and architectures using Fabric, and other modern tools (Databricks, Snowflake, Azure Data Services, etc.).
Model full end-to-end medallion lakehouse architectures (bronze, silver, gold), articulate them clearly to client stakeholders, and guide their implementation - ensuring scalability, data quality, governance, and performance.
Design and own parameterized ingestion frameworks for batch and near real-time pipelines, including source connectivity across diverse systems (databases, APIs, files, streaming) and on-premises data gateways.
Optimize pipeline and query performance -tuning Spark, partitioning, shortcuts, and incremental loads - to meet SLAs cost-effectively as data volumes scale.
Design and optimize semantic models -star-schema modeling, DirectLake and Import tradeoffs, relationship and DAX optimization, and aggregations - so analytics layers stay performant and scale with the business.
Design, implement, and operate CI/CD pipelines to enable reliable, automated deployments across environments.
Define, promote, and enforce Fabric architecture standards and best practices across engagements.
Provide technical leadership to cross-functional teams -data engineers, analysts, and business stakeholders - mentoring engineers and ensuring delivery aligns to the agreed architecture.
Stay up to date with offerings and emerging technologies, recommending improvements and innovative solutions to meet business needs.

Requirements

What you’ll need

Bachelor’s in computer science, IT, or related field.
7+ years of experience in data engineering or cloud data roles, including 2+ years in an architecture or technical lead capacity, with proven success in delivering end-to-end solutions.
Deep hands-on Fabric experience, including designing and optimizing end-to-end medallion lakehouses, pipeline performance tuning, ingestion framework design, and semantic model optimization, plus strong expertise in at least 1 of the following: Databricks, Snowflake, Azure Data Factory.
Strong command of data warehouse, lakehouse, and modern cloud data architecture patterns, including connectivity and integration across hybrid, on-premises, and cloud sources.
Proven client-facing experience, with the ability to articulate and defend an architecture to senior client stakeholders and guide their teams through implementation, including the ability to push back constructively.
Excellent communication skills, able to explain technical concepts to both technical and non-technical audiences.
Experience working in Agile / Scrum delivery environments.

Benefits

Comp & perks

A stimulating environment where you will be able to surpass yourself and discover new horizons.
A strong culture of innovation and entrepreneurship.
Occasions to celebrate your success: 5 @ 7, team activities, birthdays, breakfasts and other special events.
Group insurance for you and your family members.
RRSP and DPSP participation plan.
Monthly Wellness Allowance.
Reimbursement of telecommunication costs.
4 weeks of paid vacation.
Language courses (French & English).
Access to continuing education (in-house, conferences, events, courses, certifications, etc.)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata pipelineslakehousesmedallion architectureparameterized ingestion frameworkspipeline performance tuningsemantic modelingCI/CD pipelinesdata governancedata quality

Soft Skills

client-facing experiencecommunication skillstechnical leadershipmentoringcollaborationproblem-solvingarticulation of architectureconstructive feedbackstakeholder engagementteam guidance

Certifications

Bachelor’s in computer scienceBachelor’s in ITBachelor’s in related field