Data Architect with Fraud, Reporting & Analytics

Irving, TX, US • Posted 8 hours ago • Updated 8 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
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Job Details

Skills

  • Amazon Web Services
  • Analytics
  • Apache Hadoop
  • Actimize
  • AML
  • Apache Spark
  • Artificial Intelligence
  • Banking
  • Cloud Computing
  • Data Quality
  • Data Modeling
  • Data Warehouse
  • Data Engineering
  • Data Governance
  • Dashboard
  • Data Analysis
  • Data Architecture
  • Communication
  • Computer Science
  • Databricks
  • Financial Services
  • Collaboration
  • Extract, Transform, Load
  • ELT
  • Finance
  • Fraud
  • Meta-data Management
  • Microsoft Azure
  • Migration
  • Management
  • Management Reporting
  • Operational Risk
  • Information Systems
  • Machine Learning (ML)
  • PL/SQL
  • Fraud Management
  • Real-time
  • Regulatory Reporting
  • Privacy
  • Performance Tuning
  • Visualization
  • TOGAF
  • Streaming
  • SAS
  • SQL
  • Stakeholder Management
  • Regulatory Compliance
  • Reporting
  • SAP FICO

Summary

Data Architect with Fraud, Reporting & Analytics

Locations : Irving TX. Or Jacksonville, FL

 

We are seeking an experienced Data Architect with strong expertise in Fraud Reporting, Analytics Platforms, Data Warehousing, and Enterprise Data Architecture within the banking domain. The ideal candidate will lead the design and implementation of scalable data solutions supporting fraud detection, transaction monitoring, regulatory reporting, risk analytics, and executive dashboards.

 

Key Responsibilities

Design and implement enterprise-scale data architectures supporting Fraud, Risk, and Compliance reporting platforms.

Define logical and physical data models for fraud analytics, transaction monitoring, alert management, and case management systems.

Architect and optimize data lakes, data warehouses, and reporting solutions to enable near real-time fraud insights.

Collaborate with business stakeholders, fraud operations teams, data scientists, and technology teams to translate business requirements into scalable data solutions.

Drive data governance, lineage, metadata management, and data quality initiatives across fraud data domains.

Design integration frameworks between source systems, fraud platforms (e.g., Actimize, SAS, FICO), reporting tools, and downstream analytics applications.

Support regulatory and management reporting requirements related to fraud, AML, financial crime, and operational risk.

Ensure architecture compliance with enterprise security, privacy, and data governance standards.

Provide architectural guidance for cloud migration and modernization initiatives.

Required Skills

Technical

Strong expertise in Enterprise Data Architecture and Data Modeling.

Extensive experience in Data Warehousing, ETL/ELT, Data Lakes, and Analytics Platforms.

Hands-on knowledge of SQL, PL/SQL, and performance optimization of large datasets.

Experience with reporting and visualization platforms such as:

Power BI

Tableau

Cognos

QlikView/Qlik Sense

Experience with cloud data platforms:

Azure Data Platform

AWS

Google Cloud Platform (preferred)

Knowledge of Hadoop, Spark, Databricks, and modern data engineering frameworks.

Understanding of data governance, lineage, metadata management, and data quality frameworks.

Domain

Strong experience in Banking and Financial Services.

Proven background in:

Fraud Detection & Prevention

Transaction Monitoring

Fraud Operations Analytics

Risk & Control Reporting

Financial Crime / AML Reporting

Understanding of regulatory and compliance reporting requirements in financial institutions.

Preferred Skills

Experience with fraud platforms such as NICE Actimize, SAS Fraud Management, FICO Falcon, or equivalent.

Exposure to AI/ML-driven fraud analytics and anomaly detection frameworks.

Experience architecting real-time streaming and event-based analytics solutions.

 

Qualifications

Bachelor's or master’s degree in computer science, Information Systems, Engineering, or related field.

TOGAF, Azure Data Architect, AWS Data Analytics, or equivalent certifications preferred.

Key Success Factors

Strong stakeholder management and communication skills.

Ability to influence senior business and technology leaders.

Experience leading large-scale banking data transformation programs.

Ability to balance architecture governance with delivery agility.

 

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: 91172187
  • Position Id: 9115929
  • Posted 8 hours ago

Company Info

About Texnere Americas Inc

At Texnere, we are committed to helping businesses find the right talent, at the right time, through the right approach. Our 360° talent solutions seamlessly integrate flexible hiring models—Flexible Staffing, Team Leasing, Synergizing Agenting AI, and Managed Services—with deep industry expertise across IT, BPM, Sales & Marketing, and more.

We understand that every organization is unique, operating within specific sectors and organizational ‘vectors’ that present distinct challenges and opportunities. Whether you're a healthcare startup looking to innovate or a global captive center (GCC) in the tech space, Texnere provides specialized talent solutions tailored to your precise needs.

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Peddinti Venkat Moudgalya

Recruiter @ Texnere Americas Inc

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