Data architect with Fraud reporting and Analytics domain

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

Position: Data architect with Fraud reporting and Analytics domain

Location: Irving, TX / Jacksonville, FL (Onsite)

Hire Type: Full Time / Contract

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., Actimise, 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:
• AWS
• GCP (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:

• Transaction Monitoring
• Fraud Operations Analytics
• Understanding of regulatory and compliance reporting requirements in financial institutions.

Preferred Skills:

• Experience with fraud platforms such as NICE Actimise, 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 certificates 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.