Enterprise Solution Architect

Role Overview

Photon is looking for an experienced Enterprise Solution Architect to support large-scale Fraud and AI-led transformation initiatives within the financial services industry.

This role will be responsible for defining the end-to-end solution architecture across customer data, fraud platforms, enterprise applications, Big Data, AI/ML, APIs, event streaming, and legacy systems.

The ideal candidate will combine strong enterprise architecture and solution design experience with sufficient hands-on technical depth to work closely with engineering teams and ensure that architecture decisions can be implemented effectively within complex, highly regulated enterprise environments.

Key Responsibilities

• Define the end-to-end solution architecture for large-scale Fraud and AI transformation initiatives.
• Architect solutions spanning customer, account, transaction, payment, device, behavioral, and fraud data across multiple enterprise systems.
• Design solutions that provide a unified view of customers, relationships, transactions, interactions, and risk/fraud signals.
• Define how application, data, integration, AI/ML, and infrastructure components work together as a complete enterprise solution.
• Develop current-state and target-state architectures and define the transition approach between them.
• Define integration patterns across legacy applications, mainframe platforms, enterprise data platforms, APIs, messaging systems, and event-streaming technologies.
• Architect solutions supporting batch, near-real-time, and real-time fraud detection and decisioning.
• Partner with Data Architects and Data Engineers to define appropriate data flows, data models, ingestion patterns, and consumption architectures.
• Partner with Data Science and ML Engineering teams to define architectures supporting feature engineering, model inference, model integration, monitoring, and decisioning.
• Define API, service, event-driven, and messaging patterns required for integration across enterprise applications.
• Ensure solutions meet requirements for scalability, resiliency, performance, availability, security, auditability, and regulatory compliance.
• Evaluate existing platforms and identify opportunities to simplify architecture, reduce duplication, improve interoperability, and reuse existing enterprise capabilities.
• Lead architecture reviews and provide technical guidance to engineering teams throughout design and implementation.
• Translate business objectives and functional requirements into implementable technical architectures and solution designs.
• Identify architectural risks, dependencies, constraints, and trade-offs and work with stakeholders to resolve them.
• Establish reusable architecture patterns and standards that can be applied across multiple Fraud and AI use cases.

Required Experience

• Strong experience as an Enterprise Solution Architect / Lead Solution Architect / Enterprise Architect within large-scale enterprise environments.
• Strong experience within financial services/ banking, payments, cards, fraud, or similarly regulated industries.
• Demonstrated experience architecting complex solutions spanning applications, data, integration, and distributed platforms.
• Strong understanding of enterprise data architectures and Big Data technologies, including platforms such as Hadoop, Spark, Kafka, and related distributed technologies.
• Strong understanding of API architecture, messaging, event-driven systems, service integration, and enterprise integration patterns.
• Experience integrating modern platforms with mainframe, legacy applications, relational databases, and enterprise systems.
• Experience defining architectures for high-volume, high-throughput, and low-latency transactional systems.
• Strong understanding of batch, streaming, and real-time processing architectures.
• Strong understanding of data modeling, data flows, data lineage, data quality, metadata, and governance concepts.
• Experience defining conceptual, logical, and physical solution architectures.
• Strong understanding of security, identity, access control, encryption, privacy, audit, and regulatory requirements.
• Ability to work directly with engineering teams and review implementation-level designs, APIs, integration flows, schemas, and technical components.
• Strong ability to communicate architecture decisions and trade-offs to both technical and business stakeholders.