Data Engineering Architect Fraud Domain

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. Partner with Fraud| Risk| Compliance| and Business teams to deliver solutions supporting fraud detection| transaction monitoring| AML| behavioral analytics| and regulatory reporting.

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.