Senior Data Architect
- ON, Canada
- Ontario, Canada, Canada
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- English
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Original job description
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
More about this job
Responsibilities
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.
Skills
- 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
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Security & Safety
Keywords
- Data Architecture
- Solution Design
- Conceptual Data Modeling
- Logical Data Modeling
- Physical Data Modeling
- Data Lineage
- Impact Analysis
- Integration Architecture
- Enterprise Data Management
- API Processing
- Batch Processing
- Data Governance Frameworks
- PII Classification
- Data Privacy
- Metadata Management
- Data Quality
- Data Stewardship
- Data Retention
- Data Archival
- Encryption
- Tokenization
- Data Masking
- RBAC
- ABAC
- Secure Logging
- Key Management
- Microsoft Azure
- Azure Data Factory
- Azure Data Lake
- Azure SQL