Senior Data Architect

Job summary

Assess data flows and design remediation solutions for a strategic data controls and governance initiative. Define data controls, support architecture decisions, and work with platform teams to implement improvements in data minimization, encryption, tokenization, access, logging, and customer identifier management.

Job details

Data Architect Onsite 4 days week, Yonge street, Ontario Canada Canadian Tire 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. 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 Experience with some of the following: Microsoft Azure Azure Data Factory (ADF) Azure Data Lake (ADLS) Azure SQL Databricks Hadoop / Data Lake platforms IBM DataStage Kafka / Event Streaming platforms REST APIs Middleware / ESB platforms Salesforce SQL

What you’ll do

Assess data flows and design remediation solutions for a strategic data controls and governance initiative. Define data controls, support architecture decisions, and work with platform teams to implement improvements in data minimization, encryption, tokenization, access, logging, and customer identifier management.

Requirements

The role calls for a strong background in data architecture, governance, security, integration architecture, and cloud data platforms. Relevant experience includes data modeling, privacy and PII classification, metadata and data quality management, security controls, and platforms such as Azure, Databricks, Hadoop, DataStage, Kafka, REST APIs, Salesforce, and SQL.

Listed skills

• Microsoft Azure · Preferred
• Customer · Preferred
• Flows · Preferred
• REST APIs · Preferred
• Teams · Preferred
• management · Preferred
• Integration · Preferred
• Salesforce · Preferred
• SQL · Preferred
• ADLs · Preferred
• analysis · Preferred
• batch · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Architecture
• Data Modeling
• Data Lineage
• Integration Architecture
• Data Governance
• Data Privacy
• Data Security
• Data Minimization
• Encryption
• Tokenization
• Access Controls
• Metadata Management
• Data Quality
• Azure Data Factory
• Azure Data Lake
• Databricks

Job areas

• Data & Analytics
• Technology
• Software
• Security & Safety

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