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 robust 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.

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