Data Engineering Architect – Fraud Domain

Cleveland, OH, US • Posted 5 days ago • Updated 5 days ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Data Engineering

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10114932
  • Position Id: 135475-9119-1785352494
  • Posted 5 days ago
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