AWS and Azure architecture for payment companies — PCI DSS v4.0 cardholder data environment (CDE) design, authorization stream latency at sub-50ms P99, network tokenization integration, and the scale engineering that handles Black Friday peak at 10,000+ TPS without degrading approval rates.
Cloud architecture for the cardholder data environment — network segmentation with documented flow, PAN tokenization with KMS/HSM key management, scoping discipline to keep non-CDE services out of CDE, and PCI DSS v4.0 ROC-ready documentation.
Authorization stream architecture with sub-50ms P99 targets — compute placement, caching, connection pooling, graceful degradation during dependency impairment, and the chaos engineering that proves resilience.
Peak capacity engineering for Black Friday and equivalent events, network tokenization integration with Visa Token Service and Mastercard MDES, and the cost engineering that reserves capacity for baseline without over-provisioning for burst.
Data engineering for payments — authorization streams, clearing/settlement, scheme reports with PCI DSS-aware architectu...
Microsoft Fabric for payments — OneLake for authorization, settlement, chargeback data with PCI DSS-aware configuration....
Data integration for payments — processors, schemes, issuers, banking partners, ACH/RTP/wire rails, and ISO 20022 migrat...
Data warehousing for payments — Snowflake, Databricks, BigQuery, Fabric with tokenization and lifecycle linkage....
Both are credible. AWS has the broader PCI Level 1 service coverage and deeper payment company customer base. Azure has strong PCI coverage with tight Microsoft 365 and D365 integration. The PCI compliance work is on the architect and the operator regardless of platform — cloud providers cover infrastructure controls, not application controls. We help you decide based on existing investments and specific service coverage needs.
Through architecture disciplines payments companies have proven at scale — compute in-region and in-AZ with the issuer and network endpoints, Redis or equivalent for real-time feature retrieval, connection pool management, circuit breakers and fallback paths, and continuous chaos engineering against dependencies. The work is specific; we've done it for processors at authorization stream scale.
Yes. Pre-qualified cloud architects with payments experience — PCI DSS v4.0, authorization latency, peak capacity, tokenization, and the production discipline payments cloud requires. 92% first-match acceptance.
CDE segmentation, sub-50ms authorization, network tokenization, Black Friday scale — cloud architecture for the production reality payments lives in.
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