Publié il y a 3 jours
Data Architect
@ Cyber Space Technologies LLC
Toronto, Ontario
En bref
Cyber Space Technologies LLC is hiring a contract Data Architect for an onsite role on Yonge Street in Ontario, four days a week. The role analyzes data flows, designs remediation and data controls, and supports governance and security architecture decisions.
Responsabilités :
- Analyze end-to-end data flows across batch and API integrations
- Design current and target-state architecture diagrams
- Define data classification, retention and handling requirements
- Design encryption, tokenization, masking and access controls
- Collaborate with business, security and platform teams
Résumé des exigences :
- Strong data architecture and data governance background
- Data security experience: encryption, tokenization, RBAC and ABAC
- Integration architecture and cloud data platform experience
- Data modeling at conceptual, logical and physical levels
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-10
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Cyber Space Technologies LLC
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 5 |
Data Architect
Onsite 4 days week, Yonge street, Ontario Canada
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation solutions, defining data controls, supporting architecture decisions, and working with platform teams to implement improvements related to data minimization, encryption, tokenization, access controls, logging controls, and customer identifier management.
The ideal candidate will have a strong background in data architecture, data governance, data security, integration architecture, and cloud data platforms.
Key Responsibilities
- Data Architecture & Analysis
- Analyze end-to-end data flows across batch and API integrations.
- Develop current-state and target-state architecture diagrams.
- Perform data lineage, impact analysis, and dependency assessments.
- Identify data exposure risks across enterprise platforms.
- Document integration patterns and data movement across systems.
- Support architecture reviews and solution approvals.
- Data Governance & Controls
- Perform PII and sensitive data assessments.
- Define data classification, retention, and handling requirements.
- Design data minimization and data protection strategies.
- Support enterprise data governance initiatives.
- Define data ownership and stewardship models.
- Data Security & Privacy
- Design data protection controls including:
- Encryption
- Tokenization
- Data Masking
- Hashing
- Secure Logging
- Support RBAC and ABAC design.
- Review access models, service accounts, and privileged access requirements.
- Support security and privacy compliance initiatives.
- Integration & Platform Architecture
- Assess batch, API, messaging, and data lake architectures.
- Design secure data movement and interface patterns.
- Support modernization of customer and loyalty data integrations.
- Work closely with platform teams to implement approved architecture solutions.
- Stakeholder Management
- Collaborate with Business, Security, Data Governance, Platform, and Engineering teams.
- Facilitate architecture workshops and design sessions.
- Prepare executive and architecture review documentation.
- Support program planning, risk management, and roadmap development.
Qualifications and Skills
Required Skills:
- Data Architecture & Solution Design
- Data Modeling (Conceptual, Logical, Physical)
- Data Lineage & Impact Analysis
- Integration Architecture
- Enterprise Data Management
- API & Batch Processing Architecture
- Data Governance
- PII Classification & Data Privacy
- Data Governance Frameworks
- Metadata Management
- Data Quality & Data Stewardship
- Data Retention & Archival Strategies
- Data Security
- Encryption (Data at Rest & In Transit)
- Tokenization & Data Masking
- RBAC & ABAC
- Access Governance
- Secure Logging & Monitoring
- Key Management Concepts
- Platforms & Technologies
Journal
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