Data Architect with Data Governance/Unity Catalog/Lineage

Job summary

Analyze data flows and design current- and target-state architectures, including lineage, impact assessments, integrations, and secure data movement. Define governance, privacy, and security controls, and collaborate with business, security, platform, and engineering teams to review and implement architecture solutions.

Job details

Role: Data Architect with Data Governance/Unity Catalog/Lineage/Retail Domain Duration: Long Term Contract Location: Toronto, ON - Hybrid- 3 Days 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 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.

What you’ll do

Analyze data flows and design current- and target-state architectures, including lineage, impact assessments, integrations, and secure data movement. Define governance, privacy, and security controls, and collaborate with business, security, platform, and engineering teams to review and implement architecture solutions.

Requirements

The role requires expertise in data architecture, modeling, lineage, integration, governance, privacy, and security controls, including encryption, masking, and access governance. Experience in retail, loyalty, financial services, banking, or customer data is preferred, along with customer identity or master data management and cross-functional architecture work.

Listed skills

• management · Preferred
• Customer · Preferred
• Flows · Preferred
• Teams · Preferred
• Integration · Preferred
• Integrations · Preferred
• analysis · Preferred
• batch · Preferred
• data management · Preferred
• Retention · Preferred
• Compliance · Preferred
• Planning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Architecture
• Solution Design
• Data Modeling
• Data Lineage
• Impact Analysis
• Integration Architecture
• Data Governance
• PII Classification
• Data Privacy
• Metadata Management
• Data Quality
• Data Stewardship
• Data Security
• Encryption
• Tokenization
• RBAC and ABAC

Job areas

• Data & Analytics
• Technology
• Software
• Consulting
• Retail

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