Data Architect
- Toronto, ON, Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original 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
- Data Architecture & Analysis
- 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.
- Identify data exposure risks across enterprise platforms.
- 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.
- Support enterprise data governance initiatives.
- Define data ownership and stewardship models.
- Data Security & Privacy
- Design data protection controls including:
- Encryption
- Tokenization
- Data Masking
- Hashing
- Secure Logging
- Support RBAC and ABAC design.
- Review access models, service accounts, and privileged access requirements.
- Support security and privacy compliance initiatives.
- Integration & Platform Architecture
- 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 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
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.
More about this job
Responsibilities
Assess enterprise data flows, lineage, dependencies, and exposure risks, then develop current- and target-state architecture designs and remediation solutions. Define governance, privacy, and security controls and collaborate with business, security, governance, platform, and engineering teams to implement improvements.
Requirements
The role requires strong experience in data architecture, governance, security, integration architecture, data modeling, and cloud data platforms, including data protection and access-control practices. Experience with platforms such as Azure, Databricks, Hadoop, Kafka, REST APIs, or Salesforce is relevant; customer data, loyalty, financial services, and remediation initiatives are preferred.
Skills
- Data Architecture
- Data Modeling
- Data Lineage
- Data Governance
- Data Security
- Data Privacy
- Integration Architecture
- PII Classification
- Encryption
- Tokenization
- Data Masking
- RBAC and ABAC
- Access Governance
- Azure Data Factory
- Azure Data Lake
- Databricks
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Security & Safety
- Consulting
Keywords
- Data Architecture
- Data Governance
- Data Security
- Data Privacy
- Data Modeling
- Data Lineage
- Impact Analysis
- PII Classification
- Data Minimization
- Encryption
- Tokenization
- Data Masking
- Hashing
- Secure Logging
- RBAC
- ABAC
- Metadata Management
- Data Quality
- Data Stewardship
- Azure
- Azure Data Factory
- Azure Data Lake
- Azure SQL
- Databricks
- Hadoop
- IBM DataStage
- Kafka
- REST APIs
- Salesforce
- Master Data Management