About this opportunity
Photon lists this Data Architect opportunity in irving, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies.
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About the Role:
Key Responsibilities
Define and drive the data architecture for Fraud, integrating customer, account, transaction, payment, channel, device, behavioral, and fraud-related data across multiple source systems.
Design an ecosystem that enables a unified view of customer relationships, transactions, interactions, and fraud signals.
Work hands-on with engineering teams to define data models, data structures, data flows, ingestion patterns, transformation logic, and consumption patterns.
Architect scalable solutions for high-volume and high-velocity data using distributed Big Data technologies.
Design batch, near-real-time, and streaming data pipelines supporting fraud detection, monitoring, analytics, and decisioning.
Define conceptual, logical, and physical data models across customer and fraud domains.
Establish integration patterns across legacy systems, enterprise data platforms, APIs, messaging, and distributed data environments.
Review existing data platforms and identify opportunities to simplify data movement, eliminate duplication, improve accessibility, and establish trusted data sources.
Partner with Fraud, Data, Engineering, AI/ML, Risk, and Architecture teams to translate business requirements into implementable technical solutions.
Ensure appropriate data quality, lineage, metadata, security, privacy, traceability, and governance controls.
Support data consumption for fraud analytics, AI/ML models, operational workflows, investigations, and real-time decisioning.
Provide technical leadership through design, development, implementation, performance tuning, and production rollout.
Qualification
Experience designing and implementing a "Data as a Product" strategy, treating data assets as discoverable, trusted, and consumable products across the organization
Familiarity with modern data architecture techniques, including lakehouse architectures and ETL-free approaches such as data virtualization or data mesh
Fraud domain experience is a plus
Education
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required
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Worksite address
irving, TX, 75084, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.