Requisition Number: 106515
AI Data Architect
Location

This is a hybrid work opportunity in our Toronto, ON office.

Salary: $140,000 - $160,000 CAD annually

About the Role

As a Data Architect, you will serve as a senior technical leader responsible for designing modern data strategies, target-state architectures, and scalable data platforms that enable analytics, AI, and business transformation.

This position combines architecture leadership, customer consultation, solution design, and technical advisory responsibilities. You will help organizations assess their current data landscape, define future-state architectures, and guide the implementation of modern cloud-based data solutions that support governance, analytics, AI readiness, and long-term scalability.

The ideal candidate brings deep expertise in modern data platforms, strong consulting and stakeholder management capabilities, and a passion for solving complex business challenges through data. You are equally comfortable discussing strategy with business leaders, designing architectural roadmaps, and partnering with engineering teams to deliver practical solutions.
Key Responsibilities

• Design and lead modern data architectures that support analytics, business intelligence, machine learning, and AI-driven use cases.
• Define target-state data architectures, including data models, semantic layers, integration patterns, governance frameworks, and platform strategies.
• Assess current-state data environments and develop pragmatic modernization, migration, and implementation roadmaps.
• Translate business objectives and technical requirements into scalable data solutions that support reporting, analytics, operational decision-making, and AI enablement.
• Design unified data models, dimensional models, semantic layers, and analytics-ready data structures that drive consistency and usability across large-scale data environments.
• Serve as a thought leader for data governance, data lineage, data quality, metadata management, and data product strategies.
• Lead architecture workshops, discovery sessions, and technical discussions with business and technology stakeholders.
• Provide architectural guidance and quality oversight for delivery teams, including data engineers and implementation resources.
• Partner with engineering teams to ensure architecture decisions are effectively implemented while maintaining security, performance, scalability, and governance standards.
• Support qualified customer opportunities through discovery activities, solution design, proof-of-concept development, technical presentations, and proposal support.
• Develop architecture artifacts, high-level designs, implementation approaches, estimates, and technical recommendations.
• Advise customers on modern cloud data platforms and architectures including Microsoft Fabric, Databricks, Snowflake, AWS, Google Cloud, and related technologies.
• Design data foundations that support advanced analytics, machine learning, generative AI, knowledge management, and AI-enabled business solutions.
• Evaluate emerging technologies and recommend architecture approaches that align with business goals and long-term growth strategies.
• Mentor and coach technical team members while promoting architecture standards, best practices, and continuous learning.
• Balance advisory, architecture, delivery, and customer engagement responsibilities while effectively managing competing priorities and evolving requirements.

What We're Looking For
Required Qualifications

• Minimum eight (8) years of experience in Data Architecture, Data Engineering, Analytics Architecture, Enterprise Architecture, or related technical disciplines.
• Strong experience designing modern cloud-based data platforms, dimensional data models, semantic layers, data integration patterns, and analytics-ready architectures.
• Experience defining target-state architectures, assessing current-state environments, and leading modernization or migration initiatives.
• Experience with cloud-based data platforms and technologies such as Microsoft Fabric, Databricks, Snowflake, Azure Data Factory, Synapse, AWS Redshift, Google BigQuery, or comparable solutions.
• Strong understanding of modern data warehousing, lakehouse architectures, enterprise analytics platforms, and scalable data ecosystems.
• Experience with data governance concepts including data lineage, metadata management, data quality, data products, security, and access management.
• Proven experience working directly with business and technical stakeholders to gather requirements, facilitate workshops, and communicate architectural recommendations.
• Experience participating in customer-facing consulting, solution architecture, technical advisory, or pre-sales activities.
• Ability to communicate complex technical concepts clearly to business leaders, technical teams, and executive stakeholders.
• Strong technical leadership skills with the ability to influence architecture decisions, mentor team members, and guide delivery efforts.
• Hands-on technical capability and commitment to staying current with evolving data, analytics, and AI technologies.
• Strong prioritization skills, sound judgment, and the ability to thrive in ambiguous and rapidly changing environments.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent professional experience.
• Ability to travel up to 25% based on business and customer needs.

Preferred Qualifications

• Experience implementing Microsoft Fabric solutions in production environments.
• Experience with Databricks and modern lakehouse architectures.
• Experience with Snowflake, BigQuery, Redshift, or similar cloud analytics platforms.
• Experience designing data foundations for machine learning, generative AI, knowledge management, or advanced analytics initiatives.
• Background in data science, AI-enabled applications, or intelligent data platforms.
• Experience leading architecture assessments, modernization programs, or digital transformation initiatives.
• Relevant cloud, data, or architecture certifications.

What Success Looks Like

Successful candidates combine strong technical depth with strategic thinking, business acumen, and a passion for helping organizations solve complex data challenges.

They are trusted advisors who can navigate ambiguity, communicate effectively with diverse stakeholders, and design scalable architectures that deliver long-term business value. They continuously learn, embrace emerging technologies, and help organizations build data foundations that support analytics, AI, and future innovation.
Why Join Us?

• Opportunity to work with modern cloud data and AI technologies.
• Exposure to large-scale data modernization and transformation initiatives.
• Ability to solve diverse and challenging business problems across industries.
• Collaborative environment focused on innovation, learning, and technical excellence.
• Opportunity to influence data strategy, architecture, and technology direction.
• Strong potential for professional growth, technical leadership, and career development.

What you can expect
We're legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:

• Freedom to work from another location-even an international destination-for up to 30 consecutive calendar days per year.
• Access to 11 thriving and diverse Teammate Resource Groups

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Join us today, your ambITious journey starts here.

Salary: The base salary range for this position is typically $140,000 to $160,000 CAD with additional bonus and benefits available. However, compensation decisions are dependent on the facts and circumstances of each case, including experience and location, and we will also consider candidates outside of this range as necessary.

Architecte de données IA
Lieu

Il s'agit d'une occasion de travail hybride à notre bureau de Toronto, en Ontario.

Salaire : 140 000 $ à 160 000 $ CA par année

À propos du rôle

À titre d'architecte de données, vous agirez comme leader technique principal responsable de concevoir des stratégies de données modernes, des architectures cibles et des plateformes de données évolutives qui soutiennent l'analytique, l'IA et la transformation des affaires.

Ce poste combine leadership en architecture, consultation auprès des clients, conception de solutions et responsabilités de conseiller technique. Vous aiderez les organisations à évaluer leur environnement de données actuel, à définir des architectures futures et à guider la mise en œuvre de solutions de données modernes infonuagiques qui soutiennent la gouvernance, l'analytique, la préparation à l'IA et l'évolutivité à long terme.

La personne idéale possède une expertise approfondie des plateformes de données modernes, de solides compétences en consultation et en gestion des parties prenantes, ainsi qu'une passion pour la résolution de défis d'affaires complexes grâce aux données. Elle est aussi à l'aise de discuter stratégie avec des dirigeants d'entreprise que de concevoir des feuilles de route architecturales et de collaborer avec les équipes d'ingénierie afin de livrer des solutions concrètes.
Responsabilités principales

• Concevoir et diriger des architectures de données modernes qui soutiennent l'analytique, l'intelligence d'affaires, l'apprentissage automatique et les cas d'utilisation axés sur l'IA.
• Définir des architectures de données cibles, y compris des modèles de données, des couches sémantiques, des modèles d'intégration, des cadres de gouvernance et des stratégies de plateforme.
• Évaluer les environnements de données actuels et élaborer des feuilles de route pragmatiques de modernisation, de migration et de mise en œuvre.
• Traduire les objectifs d'affaires et les exigences techniques en solutions de données évolutives qui soutiennent le reporting, l'analytique, la prise de décision opérationnelle et l'activation de l'IA.
• Concevoir des modèles de données unifiés, des modèles dimensionnels, des couches sémantiques et des structures de données prêtes pour l'analytique qui favorisent la cohérence et l'utilisabilité dans des environnements de données à grande échelle.
• Agir comme leader d'opinion en matière de gouvernance des données, de traçabilité des données, de qualité des données, de gestion des métadonnées et de stratégies de produits de données.
• Diriger des ateliers d'architecture, des séances de découverte et des discussions techniques avec les parties prenantes d'affaires et technologiques.
• Fournir une orientation architecturale et une supervision de la qualité aux équipes de livraison, y compris les ingénieurs de données et les ressources de mise en œuvre.
• Colla