Databricks Solution Architect – Financial Crime, Banking

EXL

Databricks Solution Architect leading cloud-native solutions for Financial Crime in Banking. The role involves defining architectures for data platforms and delivering risk management solutions.

Posted 7/22/2026contractDublin • 🇮🇪 IrelandSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing Databricks-based architectures for Financial Crime and Banking platforms, with a strong focus on enterprise data architecture, regulatory compliance, and scalable technical solutions.

Highest-signal resume keywords

Databricks ArchitectureEnterprise Data ArchitectureAML Transaction MonitoringCustomer Risk AssessmentFinancial Crime Solutions

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ArchitectureCloud Data PlatformsStreaming ArchitecturesDelta LakeLakehouseUnity CatalogTechnical Solution DesignMigration RoadmapsImplementation StrategiesRisk Analytics

Soft Skills

Stakeholder EngagementWorkshop FacilitationCollaboration

Certifications & Qualifications

Bachelor's DegreeMaster's Degree

Industry Keywords

BankingFinancial ServicesAMLFraudFinancial Crime

Tech Stack

Tools & technologies

CloudUnity

About the role

Key responsibilities & impact

Lead end-to-end architecture design for Databricks-based Financial Crime and Banking platforms.
Define enterprise data architectures leveraging Lakehouse, Delta Lake and Unity Catalog.
Conduct discovery workshops with business, compliance, and technology stakeholders.
Translate regulatory and operational requirements into scalable technical solutions.
Develop target-state architectures, migration roadmaps, and implementation strategies.
Architect solutions supporting AML Transaction Monitoring, Customer Risk Assessment (CRA), KYC and Customer Due Diligence, and Ongoing Due Diligence (ODD).
Design Customer 360 and Financial Crime Lakehouse solutions.
Enable real-time monitoring and risk analytics using streaming architectures.
Ensure scalability, platform resilience, and cost optimization.

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Engineering, Analytics, Mathematics, or related discipline.
12+ years of Data and Analytics experience.
5+ years of hands-on Databricks architecture experience.
5+ years within Banking, Financial Services, AML, Fraud, or Financial Crime programs.
Proven experience designing enterprise-scale cloud data platforms.

Benefits

Comp & perks

Flexible hybrid working