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# Sr. technology Architect (Financial Crime & Risk Data Platforms)

- **Company:** U.S. Bank
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $133,365.0 - $156,900.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data Architecture, Data Governance, Software Design Patterns, Python (Programming Language), Meta-Data Management, Raw Data, SQL Databases, Apache Spark, Data Layers, Data Lakes, Information Technology, Data Lineage, Databricks
- **Published:** September 11, 2026
- **Apply:** https://dejobs.org/x/x/2E924FA2A2CB44DDB8E2F32EF5FCB3C9/job/

## About the Role

Bachelor's degree or equivalent work experience

-At least 10 years experience with the concepts, philosophies and tools behind the design of applications, information and underlying information technologies.

-At least 10 years experience with developing and implementing applications., * Enterprise Data Architecture expertisewithlarge-scaledataplatformssupportingFinancialCrime,AML,Fraud,Risk,Compliance,orRegulatoryfunctions.

 * Strongexperiencewith Databricks , Apache Spark , Delta Lake ,andmodern Lakehouse Architecture patterns.
 * Deepknowledgeof Cloud Platforms including Azure , AWS ,orhybridcloudenvironments.
 * Expertisein Data Modeling ,includingconceptual,logical,andphysicaldatadesignforcomplexenterpriseecosystems.
 * Strongunderstandingof Data Governance , Metadata Management , Data Lineage , Data Quality ,andregulatorycompliancerequirements.
 * Strong expertise in modern Medallion Architecture, including Bronze, Silver, and Gold data layer design patterns, is a valuable asset.
 * Proficiencywith SQL , Python ,distributeddataprocessing,andmoderndataintegrationframeworks.

## Description

* Leadthearchitecture,design,andimplementationofenterprise-scaleFinancialCrime,Risk,Compliance,andRegulatorydataplatforms.
 * Drivemodernizationinitiativesbymigratinglegacydataecosystemstocloud-nativeandDatabricks-basedarchitectures.
 * Developandmaintainconceptual,logical,andphysicaldatamodelsthatsupportdataquality,scalability,governance,andlong-termbusinessobjectives.
 * Partnerwithbusinessleaders,productowners,engineeringteams,andriskstakeholderstotranslatecomplexrequirementsintostrategictechnologysolutions.
 * Defineenterprisearchitecturestandards,referencearchitectures,andbestpracticesfordataingestion,transformation,storage,lineage,governance,andconsumption.
 * Evaluateemergingtechnologiesandrecommendinnovativesolutionsthatimproveperformance,resiliency,operationalefficiency,andregulatorycompliance.
 * CollaboratewithDataEngineering,Analytics,Security,andRiskteamstobuildsecure,highlyavailable,andresilientdataproductsandservices.
 * Mentorarchitects,engineers,andtechnicalteamswhilefosteringacultureofcollaboration,innovation,continuouslearning,andtechnicalexcellence.


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