Fraud Data Solution Architect
Data Access & Security Alignment
• Assess current data access management processes and identify gaps.
• Define and support lock-down requirements for sensitive fraud-related datasets.
• Collaborate with Technology and Security teams to ensure all solutions meet security parameters.
• Evaluate whether fraud data should reside on-premises or in cloud environments.
• Ensure analysts can securely access required datasets while maintaining compliance.
Fraud Data Strategy & Architecture
• Develop a fraud-focused data strategy aligned with enterprise programs and standards.
• Map existing digital databases, analytical tools, upstream/downstream systems, and integration points.
• Create a target-state architecture for fraud data and supporting technologies.
• Produce a detailed roadmap outlining phases, dependencies, and required capabilities.
Current State Assessment
• Conduct a comprehensive review of current fraud data landscape.
• Identify architectural gaps, risks, and opportunities for modernization.
• Document findings in a structured assessment deliverable.
Stakeholder Engagement
• Lead structured interviews and surveys with stakeholders.
• Work with enterprise architecture SMEs to ensure alignment with broader architecture.
Blueprinting & Solution Patterns
• Provide solution patterns tailored to fraud data use cases.
• Deliver architectural blueprints and gap assessments.
• Recommend scalable patterns for ingestion, storage, analytics, and fraud-specific data models.
Required Skills & Experience
• Experience in data architecture with experience in fraud.
• Strong understanding of fraud detection data flows and analytical tooling.
• Experience with secure data access frameworks in regulated environments.
• Ability to translate ambiguous requirements into structured architectural deliverables.
• Proven experience with cloud and on-prem data platforms.
• Strong stakeholder management and communication skills
Fraud Data Architect • oshawa, ON, ca
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