Data Engineering Architect – Fraud Domain

Role: Sr Data Engineering Architect – Fraud Domain
Skills: Digital : Python, Data Warehouse, Data Architecture and Modeling, Digital: Cloud Computing (General)
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.
Essential Skills: Strong BFSI| Payments| FinTech| or Fraud/Risk domain experience| including fraud detection| AML| KYC| transaction monitoring| and risk analytics.

SYSMIND LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without any discrimination. We promote and support a diverse workforce at all levels in the company. All job offers are contingent upon completion of a satisfactory background check and reference checks. Additionally passing the drug test may also be required. All contractors intending to work on SYSMIND's W2 are "at will" employees.