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Data Architect - Job Opportunity at Kainos

Toronto, Canada
Full-time
Senior
Posted: June 25, 2025
On-site
CAD 140,000 - 180,000 annually based on Toronto market rates for senior Data Architect positions with management responsibilities. The role's combination of technical leadership, client engagement, and team management typically commands premium compensation in the Canadian technology sector, particularly for consultancy environments with direct client billing.

Benefits

Collaborative people-first culture that prioritizes employee input and creative contribution over traditional hierarchical structures
Comprehensive career development and growth support with structured mentorship programs
Opportunity to work on cutting-edge technology projects that create measurable real-world impact
Direct client engagement opportunities that build industry thought leadership and professional reputation
Access to diverse project portfolio including digital transformation and enterprise-level solutions
Performance-based career advancement with clear progression pathways
Inclusive workplace committed to diversity, equity, and accommodation for all employees

Key Responsibilities

Lead enterprise-level data architecture strategy development across complex multi-stakeholder environments, directly impacting organizational data capabilities and business intelligence outcomes
Drive technical solution design and implementation for data structures, flows, sourcing, and governance frameworks that support millions of users and enterprise-scale operations
Provide executive-level SME guidance on data architecture disciplines while ensuring solutions deliver measurable business value and competitive advantage
Lead cross-functional teams in solving complex data challenges using cutting-edge technologies, directly contributing to client retention and business growth through repeat engagements
Manage and develop high-performing data professionals through strategic coaching, performance management, and career development initiatives that build organizational capability
Establish industry best practices and technical standards that position the organization as a thought leader in data architecture and analytics
Drive product and technology selection decisions at enterprise level, influencing long-term strategic technology investments and organizational capabilities

Requirements

Education

Not specified

Experience

Senior level with track record of providing technical leadership within data projects

Required Skills

Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data Track record of providing technical leadership within data projects including assurance, mentoring and standards definition Experience of product or technology selection, either for a project or at enterprise level Excellent client engagement skills with both technical and non-technical stakeholders Highly proficient in at least three mainstream data technologies and aware of wider data technology trends A self-starter able to work with a high degree of uncertainty Demonstrated ability in managing, coaching and developing junior members of your team and wider community
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Sauge AI Market Intelligence

Industry Trends

Data architecture is experiencing a fundamental shift toward cloud-native and hybrid multi-cloud environments, with organizations increasingly requiring architects who can navigate complex integration scenarios across AWS, Azure, and Google Cloud platforms while maintaining data sovereignty and compliance requirements. The rise of real-time analytics and streaming data architectures is driving demand for professionals who can design low-latency data pipelines and implement event-driven architectures that support instant decision-making capabilities for competitive advantage. Data governance and privacy regulations like GDPR, CCPA, and emerging Canadian privacy legislation are creating critical need for architects who can embed compliance and ethical data handling into technical architecture from the ground up. Modern data architecture is evolving toward data mesh and decentralized approaches, requiring architects who can design federated systems that balance central governance with domain-specific autonomy and self-service analytics capabilities.

Role Significance

Typically manages 3-8 direct reports in a matrix environment, with influence over larger cross-functional project teams ranging from 15-50 professionals depending on project scope and complexity.
Senior management level position with significant autonomy and strategic influence. The role combines individual contributor technical expertise with people management responsibilities, indicating a senior position that directly impacts business outcomes and organizational capability building.

Key Projects

Enterprise data modernization initiatives involving legacy system migration and cloud transformation Implementation of comprehensive data governance frameworks across multi-business unit organizations Design and deployment of data lake ecosystems supporting advanced analytics and machine learning initiatives Cross-platform data integration projects enabling real-time business intelligence and operational analytics

Success Factors

Technical depth combined with strategic business acumen enables effective translation of complex technical concepts into business value propositions that drive executive buy-in and project funding. Strong stakeholder management capabilities across technical and business audiences, particularly important in consultancy environments where client relationships directly impact business development and retention. Ability to balance innovation with pragmatic implementation approaches, ensuring cutting-edge solutions remain deliverable within realistic timelines and budget constraints. Leadership skills that inspire and develop technical teams while maintaining high standards for solution quality and architectural integrity. Continuous learning mindset essential for staying current with rapidly evolving data technologies and emerging architectural patterns in cloud-native environments.

Market Demand

High demand driven by digital transformation acceleration and increasing data complexity across industries. The combination of technical expertise and management capabilities makes this role particularly valuable in the current market where organizations struggle to find senior professionals who can bridge technical architecture with business strategy.

Important Skills

Critical Skills

Multi-platform data technology proficiency is essential as modern enterprises operate hybrid environments requiring integration across cloud providers, on-premises systems, and SaaS applications. Deep expertise in at least three mainstream platforms provides credibility and practical implementation capability. Client engagement and stakeholder management skills are critical differentiators in consultancy environments where technical expertise must be combined with business communication and relationship building to drive project success and business development. Team leadership and mentoring capabilities are essential for senior roles where technical delivery depends on developing and managing high-performing teams while maintaining quality standards and project timelines.

Beneficial Skills

Data governance and compliance expertise becomes increasingly valuable as regulatory requirements expand and organizations face significant penalties for data handling violations Cloud architecture certifications and expertise in modern platforms like Snowflake, Databricks, and Kubernetes provide competitive advantage in rapidly evolving technology landscape Industry-specific knowledge in government, healthcare, or financial services can create specialized expertise that commands premium positioning and compensation

Unique Aspects

Combination of technical architecture expertise with direct client engagement and business development responsibility creates unique value proposition for career development
Focus on cutting-edge technology implementation in real-world enterprise environments provides exposure to latest architectural patterns and implementation challenges
Management responsibility early in career progression offers accelerated leadership development compared to traditional corporate environments
Repeat client business model provides opportunity to see long-term impact of architectural decisions and build deep industry expertise

Career Growth

Typically 3-5 years to senior director level, 5-8 years to C-suite positions, depending on business impact demonstration and leadership capability development.

Potential Next Roles

Chief Data Officer or VP of Data & Analytics positions leading enterprise-wide data strategy and governance Principal/Distinguished Architect roles focusing on thought leadership and technical strategy across multiple client engagements Practice Lead or Director positions managing larger consulting practices and driving business development Independent consulting or founding data architecture consultancy leveraging deep client relationships and industry expertise

Company Overview

Kainos

Kainos is an established technology consultancy with significant presence in digital transformation and enterprise software implementation, particularly known for Workday solutions and government digital services. The company operates across multiple geographic markets with a focus on delivering high-impact technology solutions for large-scale organizational challenges.

Mid-to-large consultancy with strong reputation in specific vertical markets, particularly government and enterprise software implementation. The emphasis on repeat business and referrals indicates strong client satisfaction and market positioning in competitive consulting landscape.
Toronto location represents significant Canadian market opportunity, particularly for government and enterprise clients seeking digital transformation expertise. The Canadian market offers strong growth potential for data architecture services as organizations modernize legacy systems.
People-first consultancy culture with emphasis on collaboration, innovation, and professional development. The focus on diversity and inclusion, combined with structured career development, suggests an environment that prioritizes long-term employee retention and capability building over short-term project delivery.
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