Data & Solution Architect (Fabric)

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 operationalise 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 at scale. This 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.

🚀 What You'll Architect

As a Data & Solution Architect (Microsoft Fabric) , you will architect modern data ecosystems that enable organizations to transform raw information into scalable intelligence. Combining deep engineering expertise with consulting leadership, you will define target-state architectures, guide delivery teams, and help clients build cloud-native data platforms designed for long-term business impact.

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Collaborate with client stakeholders to translate business objectives into scalable target-state data architectures and strategic roadmaps

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Architect end-to-end data platforms, lakehouses, and pipelines using Microsoft Fabric and complementary cloud technologies such as Databricks, Snowflake, and Azure Data Services

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Design and govern medallion lakehouse architectures (Bronze, Silver, Gold) that prioritize scalability, governance, performance, and data quality

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Architect parameterized ingestion frameworks supporting batch and near real-time integrations across databases, APIs, files, streaming platforms, and hybrid environments

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Optimize pipeline and query performance through Spark tuning, partitioning strategies, shortcuts, and incremental loading techniques

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Design and optimize semantic models, including star schemas, DirectLake and Import strategies, DAX optimization, relationships, and aggregations

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Define and implement CI/CD strategies that enable reliable, automated, and scalable deployments across multiple environments

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Establish and promote Fabric architecture standards, reusable frameworks, and engineering best practices across engagements

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Provide technical leadership and mentorship to Data Engineers, Analysts, and multidisciplinary delivery teams while ensuring architectural alignment

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Continuously evaluate emerging technologies and recommend innovative approaches that strengthen client data ecosystems and business capabilities

🧠 Who You Are

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You see data architecture as the foundation that enables intelligent organizations rather than simply supporting analytics

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You naturally connect business strategy with scalable cloud and data engineering solutions

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You are comfortable leading executive conversations while maintaining deep technical credibility with engineering teams

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You enjoy designing reusable architectures that balance performance, governance, flexibility, and cost optimization

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You mentor others through collaboration and technical leadership rather than authority alone

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You thrive in consulting environments where every client challenge requires structured thinking and pragmatic innovation

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You continuously explore new technologies and translate emerging capabilities into practical business value

🛠️ What You Bring

Qualifications / Certifications

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Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

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7+ years of experience in Data Engineering, Cloud Data Platforms, or Modern Data Architecture roles

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Minimum 2 years of experience serving as a Data Architect or Technical Lead delivering end-to-end solutions

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Microsoft Fabric, Azure, Databricks, Snowflake, or cloud architecture certifications are considered an asset

Technical Skills

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Deep hands-on expertise with Microsoft Fabric, including medallion lakehouse architectures, ingestion frameworks, semantic models, and performance optimization

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Strong experience with at least one additional modern data platform such as Databricks, Snowflake, or Azure Data Factory

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Advanced understanding of data warehouse, lakehouse, and cloud-native architecture patterns

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Experience designing hybrid data integration strategies across on-premises and cloud environments

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Expertise optimizing Spark workloads, partitioning strategies, incremental loading, and scalable data pipelines

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Experience designing semantic models using star schema principles, DirectLake, Import strategies, DAX optimization, and aggregations

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Experience implementing CI/CD pipelines and deployment automation for enterprise data platforms

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Proven ability to present, defend, and guide architectural decisions with senior client stakeholders

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Experience working within Agile and Scrum delivery environments

⭐ Nice-to-haves

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Experience leading enterprise-scale Microsoft Fabric adoption initiatives

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Knowledge of Data Governance, Data Quality, and Master Data Management frameworks

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Experience with Infrastructure as Code, DevOps, or DataOps methodologies

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Exposure to Artificial Intelligence, advanced analytics, or modern cloud-native data ecosystems

🎯 What Makes You Successful

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Exceptional communication skills, with the ability to translate complex architectures into clear business conversations

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Comfortable facilitating workshops, architecture reviews, and executive presentations

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Able to balance technical excellence with business priorities, scalability, and long-term value creation

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Brings a consultative mindset that enables constructive challenge and trusted client partnerships

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Demonstrates strong technical leadership while mentoring multidisciplinary delivery teams

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Builds credibility through structured thinking, collaboration, and a consistent focus on measurable outcomes

Role Details

📍 Location: Toronto or Montreal, Canada 💼 Contract: Full-time 🌐 Work Model: Hybrid 🚀 Level: Senior Architect

Rewards - What We Offer at Keyrus

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A stimulating environment where you will be able to surpass yourself and discover new horizons

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A strong culture of innovation and entrepreneurship

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Opportunities to celebrate success through team activities, social events, and special celebrations

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Comprehensive group insurance for you and your family

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RRSP and DPSP participation plans

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Monthly Wellness Allowance

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Telecommunication reimbursement

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4 weeks of paid vacation

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Language courses (French & English)

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Access to continuous learning through certifications, conferences, training programs, and industry events

🌍 What We Stand For

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Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.

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Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.

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Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.

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Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.

ABOUT KEYRUS

At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence . Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence .

Powered by our proprietary Human Orchestrated Model™ (HOM) , we architect reliable:

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Intelligence Foundations

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Human in Command governance

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Performance Steering

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.

AI does not transform businesses. Architected intelligence does.

Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).

For more information: www.keyrus.com