Data Architect designing scalable, secure data architectures for fraud detection and risk management at Fiserv. Collaborating with cross-functional teams and managing large datasets and pipelines.
Responsibilities
Design and implement scalable, secure data architectures for analytics and operational use cases in fraud detection and risk management
Build and maintain efficient, reliable data pipelines and ETL/ELT workflows
Manage large, high-scale datasets; establish and enforce data integrity, lineage, and quality controls
Collaborate with data scientists to prepare training datasets and operationalize machine learning models
Requirements
10+ years of experience in data architecture and analytics
5+ years of hands-on programming experience with Java and Python, including SQL expertise
3+ years of technical leadership experience designing and delivering data solutions at scale
2+ years’ experience preparing and training machine learning models using fraud data
Bachelor’s degree in data science, Computer Science, Engineering, Mathematics, or a related field, or equivalent experience
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