Data Architect (Cards and Payment) || Remote

Job Role: Data Architect (Cards and Payment)

Location: Remote (Occasional Travel)

Key Responsibilities-

AML Architecture Assessment

• Review current AML technology architecture, including source systems, Data Warehouse, ETL processes, ODS, staging layers, and Actimize integration.
• Analyze customer, account, transaction, KYC, and watchlist data flows feeding Actimize.
• Identify architectural weaknesses, bottlenecks, and operational risks impacting AML monitoring effectiveness.
• Evaluate current-state data lineage and traceability across AML data pipelines.

Data Quality & Controls Framework

• Design an enterprise-grade AML Data Quality Framework.
• Define controls for:
  • Completeness
  • Accuracy
  • Consistency
  • Timeliness
  • Uniqueness
  • Referential Integrity
• Establish data quality scorecards and dashboards.
• Create monitoring mechanisms for:
  • Missing records
  • Data drift
  • Schema changes
  • Failed loads
  • Filter impact analysis
  • Exception management

Long Description-

Data Governance & Compliance

• Collaborate with Compliance, Audit, Risk, and AML Operations teams.
• Define governance standards supporting regulatory expectations.
• Establish audit-ready lineage and traceability processes.
• Prepare architecture documentation supporting MRA/MRIA remediation activities.
• Ensure solution designs align with AML regulatory obligations and model governance requirements.

Modernization & Transformation

• Recommend modernization roadmap for AML data processing.
• Evaluate opportunities involving:

• ODS optimization
• Real-time processing
• Event-driven architectures
• Cloud-based AML data platforms
• Metadata-driven controls
• Automated DQ frameworks

• Drive reusable architecture patterns and AML best practices.

Stakeholder Management

• Act as the primary liaison between:

• AML Business Teams
• Compliance
• Data Warehouse Teams
• ETL Teams
• Actimize SMEs
• Enterprise Architecture Teams

• Facilitate workshops and architecture reviews.
• Present findings and recommendations to senior leadership.

Area(s) of responsibility

Required Skills

AML Domain

• Strong knowledge of:

• AML Transaction Monitoring
• KYC/CDD
• Sanctions Screening
• Watchlist Processing
• SAR/STR Reporting
• Regulatory Compliance Programs

Data Architecture

• Data Warehousing Concepts
• ETL/ELT Architectures
• Oracle Database
• Data Modeling
• Data Lineage
• Metadata Management
• Master Data Management

Data Quality

• Data Profiling
• Data Reconciliation
• Data Validation Frameworks
• Root Cause Analysis
• Data Observability
• Data Governance

Technical Skills

• SQL
• Oracle
• Ab Initio / Informatica / DataStage
• Python (preferred)
• Databricks (preferred)
• Kafka/Event Streaming (preferred)
• Cloud Platforms (AWS/Azure preferred)