Best Practices, Cloud Computing, Data Management, Data Modeling, Data Quality, Data Warehousing, Enterprise Architecture, Mentoring, Performance Tuning/Optimization, Regulatory Reports, Risk, Risk Analysis, Transaction Processing/Management
LOCATION
Cleveland, OH
POSTED
4 days ago
Request ID: 99836-1
Title: Data Engineering Architect – Fraud Domain
Locations: Onsite: Cleveland, OH, onsite FROM DAY 1
Duration: 06+ Months with Possible Extension.
Pay Range: $50-$53/Hour on W2/C2C (All inclusive)
Skills: Python, Data Warehouse, Data Architecture and Modeling, Digital: Cloud Computing (General), Strong BFSI| Payments| FinTech| or Fraud/Risk domain experience| including fraud detection| AML| KYC| transaction monitoring| and risk analytics. Experience Required: 10 & Above
Role Descriptions:
Define and implement enterprise data architecture| data models| governance standards| and technology roadmaps for fraud and risk analytics platforms.
Design and oversee scalable batch and real-time data pipelines| data lakes/lakehouses| data warehouses| and cloud-based data solutions.
Partner with Fraud| Risk| Compliance| and Business teams to deliver solutions supporting fraud detection| transaction monitoring| AML| behavioral analytics| and regulatory reporting.
Ensure data quality| security| lineage| compliance| performance optimization| and adherence to architecture best practices.
Lead architecture reviews| mentor engineering teams| and collaborate with stakeholders to drive data modernization initiatives.