PCI DSS certification and data modernization

Industry: Payments and digital wallets

Delivered for: Paysafe

Focus: PCI DSS certification and cloud migration

Impact: Achieved PCI DSS certification and improved platform efficiency

Project scope

  • 1

    PCI DSS data architecture

    Scope included ownership of the data-platform portion of the PCI DSS program, translating compliance requirements into engineering controls and secure access patterns.

  • 2

    Cloud modernization and migration

    Scope included design of the target architecture and migration of on-premises relational database workloads to a unified scalable cloud platform.

  • 3

    Governance and observability foundations

    Scope included implementation of governance foundations, standardized data integration patterns, and audit-ready logging and monitoring across pipelines.

Project context

Paysafe needed to modernize an expensive in-house data stack that lacked the scalability required for a growing global payments platform. At the same time, the data environment needed stronger controls and auditability to support PCI DSS compliance across sensitive payment and digital-wallet reporting systems.

Problem

The legacy data environment was costly to maintain, difficult to scale, and not well aligned to the control and audit requirements expected for sensitive payment data.

Solution

The engagement used a dual-track approach to modernize the platform while building compliance into the architecture. This included migration of legacy databases to cloud-based solutions, standardization of data integration patterns, and enforcement of stronger controls for cardholder data handling.

Outcome

The resulting platform achieved PCI DSS compliance, improved observability and governance, reduced operational support effort, and created a stronger foundation for long-term scale.

Selected outcomes

  • Achieved PCI DSS compliance through required controls and evidence processes
  • Reduced operational support effort through migration and platform standardization
  • Improved observability and governance across data pipelines and reporting workflows
  • Created a more scalable platform foundation for future growth

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