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 solid background in data architecture, data governance, data security, integration architecture, and cloud data platforms.
Key Responsibilities 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.
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.
Define data ownership and stewardship models.
Data Security & Privacy
Design data protection controls including:
Encryption
Data Masking
Hashing
Support RBAC and ABAC design.
Review access models, service accounts, and privileged access requirements.
Support security and privacy compliance initiatives.
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 Modeling (Conceptual, Logical, Physical)
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)
RBAC & ABAC
Access Governance
Key Management Concepts
Platforms & Technologies
Experience with some of the following: Databricks
Hadoop / Data Lake platforms
IBM DataStage
Kafka / Event Streaming platforms
REST APIs
Middleware / ESB platforms
SQL
Preferred Experience: Retail, Loyalty, Financial Services, Banking, or Customer Data domains.
Experience with customer identity and master data management.
Experience in data remediation, data governance, or security transformation initiatives.
Experience working with cross-functional architecture and engineering teams.

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📌 Data Architect (Ontario)
🏢 Reveille Technologies,Inc
📍 Ontario