Staff Data Architect

Shyftlabs; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

ShyftLabs is looking for a Staff Data Architect in Toronto to design enterprise-scale data architectures for Fortune 500 companies. The role involves creating data product-oriented operating models, leveraging platforms like Databricks and AWS, and requires extensive expertise in data governance and architecture. Candidates should have a strong background in enterprise data solutions and relevant technical qualifications.

Benefits

Competitive salary

Strong healthcare insurance

Learning and development resources

Qualifications

• 8+ years of experience in enterprise data architecture with Fortune 500 companies.
• Deep hands-on experience with Databricks and AWS.

Responsibilities

• Design enterprise data architectures for Fortune 500 companies.
• Lead stakeholder workshops and facilitate data architecture decisions.
• Define data governance frameworks and integration patterns.

Skills

Data architecture

Stakeholder management

Data governance frameworks

Near real-time data processing

Architecting data solutions

Education

Bachelor's or Master's degree in Computer Science

Tools

Databricks

AWS Cloud Services

Job description

Position Overview:

ShyftLabs is seeking an experienced Staff Data Architect to design and implement enterprise-scale data architectures for Fortune 500 companies. You will work with modern data platforms including Databricks, design data product-oriented operating models, and provide strategic guidance for organizations transitioning to AI-driven data ecosystems.

ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities:

• Design enterprise data architectures supporting 1000+ databases across multiple business domains
• Architect target state solutions leveraging Databricks Unity Catalogue, Delta tables, and AWS cloud services for data product-oriented operating models
• Design strategic silver/gold/platinum data layer frameworks optimized for enterprise-scale analytics and AI readiness
• Define data governance frameworks, metadata strategies, and domain ownership models
• Design enterprise data integration patterns and technology selection strategies for diverse source systems
• Lead stakeholder workshops and facilitate cross-functional alignment on data architecture decisions
• Create enterprise data standards, policies, and best practices frameworks
• Design scalable architecture patterns supporting both batch and near real-time streaming requirements

• Enterprise Scale Expertise: Proven experience architecting data solutions for Fortune 500 companies with complex, multi-domain data ecosystems
• Strategic Vision: Ability to translate diverse business requirements into scalable technical architecture
• Data Product Leadership: Deep understanding of domain-driven design and data mesh principles for large-scale organizations
• Consulting Excellence: Expert-level workshop facilitation, stakeholder management, and ability to present architectural strategies to executive leadership and technical teams

Basic Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
• 8+ years of experience in enterprise data architecture with Fortune 500 companies
• Expert-level experience with Databricks platform, Unity Catalogue, and Delta Lake architecture
• Deep hands-on experience with AWS cloud services including S3, RDS, and database migration services
• Proven experience with CDC (Change Data Capture) patterns and AWS DMS
• Strong background in designing silver/gold/platinum data layer architectures for enterprise analytics
• Experience with job orchestration platforms such as Active Batch, Airflow, or similar enterprise schedulers
• Knowledge of data governance frameworks and metadata management at enterprise scale
• Understanding of near real-time data processing and streaming architectures
• Experience with enterprise data integration patterns across diverse source systems

Preferred Qualifications

• Experience with data catalog and metadata management platforms
• Knowledge of data observability and monitoring platforms
• Background in enterprise integration patterns and API architecture
• Experience with multi-domain data architecture in complex organizations
• Familiarity with retail or energy industry data ecosystems

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office, and flexibility for client engagement needs. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.