Data Engineering / Apache Spark engineering for Fintech
Production Data Engineering / Apache Spark built for the compliance reality of Fintech. Not generic engineering adapted to your sector — sector-native architecture from the first design decision.
Fintech Data Engineering / Apache Spark deployments face a compliance landscape that evolves as regulators catch up with new financial products. SOC 2 Type II is table stakes for enterprise fintech sales. PCI-DSS governs any Data Engineering / Apache Spark system that touches card data — and scope minimization through tokenization is an architectural decision that must be made before the first card is processed. AML/KYC requirements apply to any Data Engineering / Apache Spark system that onboards financial customers, with OFAC sanctions screening required in real time for every transaction.
The most common fintech Data Engineering / Apache Spark compliance failure is building for the initial regulatory scope and failing to architect for the scope that follows: the bank partnership that requires BSA/AML monitoring, the enterprise customer that requires SOC 2 Type II, the international expansion that requires GDPR compliance. We design fintech Data Engineering / Apache Spark systems with the compliance architecture that scale requires — not just what the current product requires.
Fintech engineering operates under a specific set of regulatory frameworks that govern data handling, security controls, audit requirements, and system availability. Every Data Engineering / Apache Spark architecture decision we make in this sector is evaluated against these frameworks — not added as a compliance layer afterward.
SOC 2 Type II readiness built from the first commit — not assembled before the first enterprise sale
PCI-DSS tokenization-first architecture so raw card data never touches application Data Engineering / Apache Spark code
AML/KYC onboarding infrastructure integrated with sanctions screening at transaction speed
Compliance architecture that scales with the regulatory scope that follows product-market fit
Our Fintech case studies include Data Engineering / Apache Spark technology deployed in production — compliant from architecture, delivered on fixed-price timelines. Not proof-of-concept work. Production systems serving regulated organizations.
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We deploy engineering teams that build Data Engineering / Apache Spark systems compliant with SOC 2, PCI-DSS, AML/KYC from the first architecture decision. Fixed price. No discovery phase. Production delivery.
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