Fraud Analytics Data Architect - Real-Time Banking Insights

Programmers.io; Irving (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Programmers.io is seeking an experienced Data Architect specializing in Fraud reporting, analytics platforms, and enterprise data architecture within the banking domain. You will lead the design of scalable data solutions for fraud detection, transaction monitoring, regulatory reporting, and executive dashboards.

Responsibilities include defining data models, building data lakes and warehouses, and ensuring data governance and security across fraud data domains.

Qualifications

• Experience in enterprise data architecture and data modeling for large, complex datasets.

Responsibilities

• Design enterprise-scale data architectures supporting Fraud, Risk, and Compliance reporting.
• Define logical and physical data models for fraud analytics and monitoring systems.
• Architect data lakes and data warehouses with near real-time insights.
• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Lead data governance, lineage, metadata management, and data quality initiatives.
• Design integrations between source systems, fraud platforms, reporting tools, and downstream analytics.

Skills

Enterprise Data Architecture

Data Modeling

Data Warehousing

ETL/ELT

Data Lakes

Analytics Platforms

SQL

PL/SQL

Performance optimization

Power BI

Tableau

Cognos

QlikView

Qlik Sense

AWS

GCP

Hadoop

Spark

Databricks

Data governance

Data lineage

Metadata management

Education

Bachelor's or Master's degree in CS/IS/Engineering or related field

TOGAF

Azure Data Architect

AWS Data Analytics cert

Tools

Power BI

Tableau

Cognos

QlikView

Qlik Sense

AWS

GCP

Hadoop

Spark

Databricks

Job description

Programmers.io is seeking an experienced Data Architect specializing in Fraud reporting, analytics platforms, and enterprise data architecture within the banking domain. You will lead the design of scalable data solutions for fraud detection, transaction monitoring, regulatory reporting, and executive dashboards.

Responsibilities include defining data models, building data lakes and warehouses, and ensuring data governance and security across fraud data domains.