Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this AI Data Architect role.

Rezi rewrites your resume against Insight's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the AI Data Architect posting at Insight — free, in seconds.

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.

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.

Requirements

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.
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.

Skills

Data Architecture
Data Engineering
Analytics Architecture
Enterprise Architecture
Cloud-based data platforms
Dimensional data models
Semantic layers
Data integration patterns
Analytics-ready architectures
Modern data warehousing
Lakehouse architectures
Enterprise analytics platforms
Scalable data ecosystems
Data governance
Data lineage
Metadata management
Data quality
Data products
Security
Access management
Microsoft Fabric
Databricks
Snowflake
Azure Data Factory
Synapse
AWS Redshift
Google BigQuery
Machine learning
Generative AI
Knowledge management
AI-enabled business solutions
Data science
Intelligent data platforms
Digital transformation

Location

Toronto, ON

Work Type

Hybrid

Experience Level

Minimum eight (8) years of experience

Education Level

Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent professional experience.

Salary/Compensations

$140,000 to $160,000 CAD

Benefits

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

About the Company

Insight is not just a tech company; it is a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions.
14,000+ engaged teammates globally
$8.2 billion in revenue in 2025
Certified as a Great Place to work in 9 Countries in 2025
Fortune 500 Company (No. 447) in 2025
Received 25+ industry and partner awards in the past year
$1.4M+ total charitable contributions in 2024 by Insight globally

Equal Opportunity

Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!
Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired.