Senior Staff Full-stack Engineer, Global Payments Network

Capital One • McLean, VA

9d

About The Position

Capital One’s Global Payment Network (GPN) is unifying Discover Network, PULSE, and Diners Club International into a single modern payment network. The Senior Staff Full-stack Engineer is an individual contributor responsible for architecting and delivering the real-time and batch data infrastructure used across the network, including ingestion, streaming, the canonical data model, and the catalog and metadata layer. This highly visible role works across Core Network, Fraud/AML, Analytics, and Modeling teams to define the network’s data platform from the ground up. It requires deep technical expertise, architectural vision, and effective partnership across engineering, data science, product, and risk; the role has no direct reports.

The position sets the direction for a portable, standardized data platform that supports reliable network-wide data sharing and downstream decisioning. The engineer will serve as a technical authority and advisor, favor open and well-understood components, and help raise technical standards across the organization.

Requirements

• Bachelor’s degree or higher in Computer Science or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
• At least 9 years of experience in software engineering and solution architecture.
• At least 9 years of experience in enterprise architecture and design patterns.
• At least 9 years of experience in cloud computing, such as AWS, Microsoft Azure, or Google Cloud.
• At least 9 years of experience in data architecture.
• Deep understanding of distributed systems, real-time streaming architecture, data modeling at scale, and cloud infrastructure.

Nice To Haves

• Master’s degree in Computer Science or Software Engineering.
• 12+ years of experience in software engineering and solution architecture.
• 12+ years of experience in enterprise architecture and design patterns.
• 12+ years of experience with web technologies, including JavaScript, TypeScript, and SPA frameworks.
• 12+ years of experience designing and building distributed HPC and ML systems.
• 12+ years of experience in cloud computing, such as AWS, Microsoft Azure, or Google Cloud.
• 12+ years of experience in data architecture.
• Deep experience designing event-driven, real-time streaming architectures at scale, such as Kafka, Flink, or equivalent.
• Experience with distributed storage, catalog, and metadata/lineage systems, such as Iceberg and data lakehouse architectures.
• Experience designing canonical or shared data models that unify disparate or legacy systems.
• Experience architecting high-availability, low-latency distributed systems in a regulated, high-stakes domain such as payments, fraud, or financial transaction processing.

Responsibilities

• Architect real-time, event-driven data pipelines for authorization, transaction, settlement, and fraud-relevant events, meeting the latency and exactly-once delivery requirements of a payment network.
• Define a canonical data model that unifies legacy schemes’ merchant hierarchies, participant identities, and transaction semantics, translating legacy formats at the network edge rather than propagating them inward.
• Design and build the catalog and metadata layer, including schema registry, lineage, data contracts, and access policy, to provide downstream teams with a trustworthy source of truth.
• Set technical architecture and standards for streaming, storage, and low-latency serving at network scale.
• Promote data standardization internally and with partner teams building on the platform.
• Serve as a deep technical authority and trusted advisor across the data engineering function, shaping a modern, portable data platform using open, well-understood components.
• Partner with Fraud/AML, Analytics, and Canonical Modeling leadership to ensure the architecture enables their roadmaps.
• Mentor engineers and raise the technical bar across the organization without managing a reporting chain.

Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
• A comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting total well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior