Defines and governs end-to-end enterprise technology solutions aligned with business objectives and architecture standards. Designs cloud, hybrid, distributed, microservices, API, integration, data, security, and AI-enabled architectures across AWS, Azure, and GCP. Leads modernization strategies, technology evaluations, architecture roadmaps, risk mitigation, governance, and technical design reviews. Collaborates with business stakeholders, engineering teams, vendors, and architecture specialists while supporting delivery, pre-sales, proposals, and client presentations.
Senior Enterprise Solution Architect / Senior Solution Architect – Fraud
Location: Irving, TX
Company: Photon
Experience: 12+ years
Photon is seeking experienced Senior Enterprise Solution Architects / Senior Solution Architects to support large-scale transformation initiatives within the financial services industry.
The role will focus on reviewing business and technology initiatives, assessing architecture options, evaluating build vs. buy / reuse vs. build decisions, and defining scalable end-to-end solution architectures.
Strong Fraud domain experience in Banking or Financial Services is required.
Key Responsibilities- Review business and technology initiatives and assess architecture options.
- Define end-to-end solution architecture across applications, APIs, integration, data, security, and infrastructure.
- Evaluate build vs. buy, reuse, modernization, and platform options.
- Assess existing application landscapes and recommend simplification, consolidation, or modernization opportunities.
- Develop architecture diagrams, solution blueprints, and integration flows.
- Ensure solutions align with enterprise architecture standards, target-state direction, security, scalability, and resiliency requirements.
- Partner with business, product, engineering, data, and security teams to translate requirements into implementable solutions.
- Provide architecture leadership and guidance through design and delivery.
- 12+ years of technology experience with strong experience in Solution Architecture / Enterprise Solution Architecture.
- Strong Fraud domain experience within Banking, Payments, Cards, or Financial Services.
- Experience architecting complex enterprise applications and platforms.
- Strong understanding of APIs, integration patterns, microservices, data architecture, and event-driven architectures.
- Proven experience evaluating architecture optionality and build-vs-buy decisions.
- Experience with application modernization and enterprise-scale transformation programs.
- Strong communication skills with the ability to engage both technical and business stakeholders.
- Experience with Fraud Detection, Fraud Prevention, Transaction Monitoring, Identity, Authentication, or Risk platforms.
- Exposure to AI/ML-enabled fraud solutions.
- Experience with large-scale Banking, Payments, or Card ecosystems.
A senior architect who can understand the business problem, evaluate multiple technology options, recommend the right approach, and translate it into a practical solution architecture for delivery.
Compensation, Benefits and Duration
Minimum Compensation: USD 53,000
Maximum Compensation: USD 188,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
Similar Jobs
Financial Services
Leads software engineering and AI/ML solution delivery using Java and Python. Designs, builds, operates, and troubleshoots secure, scalable production systems; advances AI-assisted engineering practices; integrates LLM, RAG, and NLP capabilities; develops CI/CD and cloud-native automation; improves observability, reliability, and incident remediation; partners on technical roadmaps; and mentors engineers and AI practitioners.
Top Skills:
Ai/MlAWSCi/CdCloud-Native ArchitecturesContainerizationEvent-Driven ArchitectureGenerative AiInfrastructure As CodeJavaLangchainLanggraphLlmsMicroservicesNlpObservabilityPythonRetrieval-Augmented Generation (Rag)
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain Master Data Management, data governance, stewardship, quality, and reference data processes. Partner with enterprise stakeholders and governance groups to define standards, validate master data, establish quality rules, support data owners, and prioritize initiatives. Lead requirements for system configuration changes while using data profiling, modeling, and analytics to improve data validity and consistency across systems.
Top Skills:
AgileInformaticaProfiseePythonRestSemarchySoapSQL
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Develop and maintain master data management and integration capabilities, including data quality rules, governance processes, stewardship workflows, data validation, profiling, modeling, and integration design. Collaborate with enterprise stakeholders, data owners, stewards, and governance groups to define requirements, configure systems, and support strategic MDM initiatives. Use Python, SQL, AWS services, APIs, Dataiku, and ETL/MDM tools to improve data accuracy, consistency, transformation, and retention.
Top Skills:
AgileAmazon RedshiftAPIsAws LambdaAws Step FunctionsDataikuETLInformaticaPl/SqlProfiseePythonSemarchySQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
