Enterprise Solution Architect

Photon; Irving (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Photon is seeking an experienced Enterprise Solution Architect to lead end-to-end architecture for large-scale fraud and AI transformation programs within the financial services sector. You will define architectures spanning data, fraud platforms, enterprise apps, big data, APIs, and legacy systems, while ensuring security, compliance, and scalability.

The role requires deep hands-on depth to work with engineering teams, shape transition plans, and establish reusable patterns across multiple use

Qualifications

• Experience as an Enterprise Solution Architect / Lead/Enterprise Architect in large-scale environments.
• Industry experience in financial services, banking, payments, fraud, or regulated sectors.
• Ability to design complex cross-domain solutions spanning applications, data, integration and distributed platforms.

Responsibilities

• Define end-to-end architecture for large-scale Fraud and AI transformation initiatives.
• Architect solutions across data, APIs, event streaming, and enterprise systems.
• Ensure architecture decisions are implementable within regulated environments.
• Lead architecture reviews and provide guidance to engineering teams.
• Translate business objectives into implementable technical designs.

Skills

Enterprise architecture

Solution design

Big Data technologies

API architecture

Security and compliance

Mainframe integration

Regulated industries

Communication to stakeholders

Education

Bachelor's degree in CS/IS

Tools

Hadoop

Spark

Kafka

Job description

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.