Data Engineering Architect - Fraud Domain

Sysmind LLC

United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Cloud Computing Cloud Database Data Architecture Data Warehousing Fraud Prevention and Detection Python (Programming Language) Performance Tuning Data Lakes Data Pipelines

Job description

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.