Data & Solution Architect (Fabric)

Keyrus Canada • Montreal, QC

1d • Hybrid

About The Position

Keyrus North America (NORAM) is seeking a full-time Data & Solution Architect with deep, hands-on expertise in Microsoft Fabric, and other modern cloud data platforms. This is a senior, client-facing role that pairs deep engineering expertise with end-to-end architecture ownership. The role involves modeling and articulating target-state data architectures, then guiding delivery teams through their implementation. The ideal candidate brings deep technical expertise, enjoys teamwork, and thrives in a fast-paced, collaborative environment. At Keyrus, every day is a chance to innovate and make an impact.

Requirements

• 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

Responsibilities

• 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.

Benefits

• 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.)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior