Data Engineering / Apache Spark engineering for Banking & Capital Markets
Production Data Engineering / Apache Spark built for the compliance reality of Banking & Capital Markets. Not generic engineering adapted to your sector — sector-native architecture from the first design decision.
Banking and capital markets Data Engineering / Apache Spark deployments must navigate the most complex compliance environment in financial services: SOC 2 Type II for operational trust, PCI-DSS for any system touching payment card data, GLBA Safeguards Rule for consumer financial information, and BSA/AML transaction monitoring requirements. Data Engineering / Apache Spark systems in banking environments must maintain audit trails that satisfy both internal controls (SOX ITGC requirements for public companies) and external regulatory examination from OCC, FDIC, and Federal Reserve supervisors.
The technical requirements in banking Data Engineering / Apache Spark deployments go beyond application-level controls. Access management must satisfy Segregation of Duties requirements — no single developer or operator can approve, deploy, and audit their own changes. Change management must produce records that pass ITGC audit review. Encryption must meet the specific cipher suite requirements of each regulatory framework. BSA/AML transaction monitoring must analyze behavioral patterns, not just threshold-based alerts. We architect Data Engineering / Apache Spark banking systems where these requirements are built into the engineering workflow, not imposed after the fact.
Banking & Capital Markets 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 controls implemented at the Data Engineering / Apache Spark infrastructure level — access management, change management, audit logging
PCI-DSS scope reduction through tokenization architecture before any card processing is built
GLBA Safeguards Rule technical controls implemented from the first infrastructure decision
BSA/AML transaction monitoring architecture designed alongside the core Data Engineering / Apache Spark application
Our Banking & Capital Markets 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, GLBA, BSA/AML from the first architecture decision. Fixed price. No discovery phase. Production delivery.
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