Data Architect

Reveille Technologies,Inc; Toronto; On-site; CAD 110,000 - 160,000; Full time

Job summary

Reveille Technologies,Inc is seeking a hands-on Data Architect to lead data governance and architecture modernization initiatives in a complex cloud environment. You will assess data flows, design remediation solutions, and define robust data controls for encryption, masking, and access management.

The role collaborates with Platform, Security, and Engineering teams to implement approved architecture solutions and drive data minimization and privacy controls across data ecosystems.

Qualifications

• Experience in data governance, data architecture and security transformation initiatives.
• Strong understanding of data classification, retention and handling requirements.

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.
• Design data minimization and data protection strategies.
• Define data ownership and stewardship models.
• Review access models, service accounts, and privileged access requirements.
• Support security and privacy compliance initiatives.

Skills

Data Modeling

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

Tools

Databricks

Hadoop / Data Lake platforms

IBM DataStage

Kafka / Event Streaming platforms

REST APIs

Middleware / ESB platforms

SQL

Job description

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

• 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.