AI Data Architect: Cloud & AI Data Strategy

Insight Public Sector; Toronto; Hybrid; CAD 140,000 - 160,000; Full time

Job summary

Insight Public Sector in Toronto is seeking an AI Data Architect to lead modern data strategies and target architectures for analytics, AI, and business transformation. You will guide customer engagements, shape data solutions, and collaborate with engineering teams to deliver scalable platforms in a hybrid work setting.

The role emphasizes governance, data quality, and data product strategies, requiring strong leadership and the ability to communicate complex concepts to executives.

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.

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.

Skills

Data Architecture

Cloud Data Platforms

Stakeholder Management

Architecture Roadmaps

Technical Leadership

Education

Bachelor's degree

Tools

Microsoft Fabric

Databricks

Snowflake

Azure Data Factory

Synapse

AWS Redshift

Google BigQuery

Job description

Insight Public Sector in Toronto is seeking an AI Data Architect to lead modern data strategies and target architectures for analytics, AI, and business transformation. You will guide customer engagements, shape data solutions, and collaborate with engineering teams to deliver scalable platforms in a hybrid work setting.

The role emphasizes governance, data quality, and data product strategies, requiring strong leadership and the ability to communicate complex concepts to executives.