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Data Architect
World Vision Canada. Design the enterprise data architecture, including conceptual, logical and physical architecture, data platforms, canonical data models and governing standards .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise data architecture, including data modeling, integration standards, and data governance. Proficient in designing secure data solutions and presenting architectural strategies to senior leadership.
Highest-signal resume keywords
Enterprise Data ArchitectureData ModelingData GovernanceSQL ProficiencyCloud Data Platform Certification
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Integration StandardsData Quality ManagementMaster Data ManagementData Protection StandardsData Flow DiagramsRelational and Dimensional ModelingContract-First PatternsBatch and Streaming Data FlowsData Mesh ParadigmData Fabric Paradigm
Soft Skills
Clear CommunicationSound JudgementAbility to Build Agreement
Tools & Technologies
SnowflakeDbtArchiMateUMLMetadata Management Tooling
Certifications & Qualifications
TOGAFCloud Data Credential
Industry Keywords
Nonprofit ExperienceEnterprise Agile FrameworksData CatalogAPI ContractsSchema Registries
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Design the enterprise data architecture, including conceptual, logical and physical architecture, data platforms, canonical data models and governing standards
- Develop and present data architecture, roadmap and material design decisions to senior leadership
- Define data integration and interoperability standards, including contract-first patterns, interfaces, schema contracts and secure data-sharing standards
- Architect governed, reusable data products, master data structures, consolidated master records and analytical models
- Establish data quality, master data management, retention and remediation standards
- Set standards for AI and machine learning data use and platform portability
- Establish data security, classification, protection and access-control standards for sensitive data
- Produce and maintain data models, reference architectures, data-flow diagrams, architecture decision records and standards documentation
- Govern solution and vendor designs through delivery, review alignment, guide implementation and adjust architecture as needed
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Engineering or a related discipline, or equivalent professional experience
- Enterprise-architecture or cloud data-platform certification, for example TOGAF or a recognized cloud data credential (Preferred)
- Ten or more years working in data management disciplines such as data modelling, data engineering or data science
- Five or more years in data architecture, including lakehouse or warehouse-native patterns and batch and streaming data flows in Snowflake and other cloud data platforms
- Accountability for an enterprise data architecture, setting standards adopted across delivery teams and vendors, and presenting architecture direction to senior leadership
- Experience delivering master-data and golden-record solutions, governed reusable data products, and warehouse-native customer data platforms
- Experience setting data design direction for solution architects and delivery partners
- Experience designing data protection, classification and access controls for sensitive data
- Experience in a nonprofit or mission-driven organization (Preferred)
- Defining data and API contracts, schema registries and contract testing
- Advanced conceptual, logical and physical data modelling; relational and dimensional modelling; strong SQL
- Familiarity with dbt, ELT patterns and orchestration tooling
- Familiarity with Python or similar scripting languages
- Understanding of CI/CD and automated data testing, including contract and schema testing
- Command of data mesh, data fabric and lakehouse paradigms
- Familiarity with data catalog and metadata management tooling
- Proficiency with ArchiMate or UML and architecture modelling tools
- Experience working in Enterprise Agile frameworks
- Clear communication with technical and non-technical stakeholders
- Ability to build agreement across technical and business teams
- Sound judgement in complex and ambiguous design problems
- Ability to document design decisions, apply standards consistently and support recommendations with evidence
Benefits
Comp & perks- Health Spending Account
- Up to 6% matched pension contributions
- Parental leave top-up
- Generous paid vacation, sick days, wellness and personal days
- Office closed extra days before long weekends (6x/year)
- Canada and GTA top employer awards
- Agile mindset workplace