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# Sr. Data Architect - Data Engineering 3

- **Company:** Genpact
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Application Integration Architecture, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Transformation, IBM InfoSphere DataStage, Electronic Data Interchange (EDI), Middleware, Monitoring of Systems, IBM Websphere Application Server, Internet Information Services (IIS), Routing, Performance Tuning, Cloudera, Data Streaming, Management of Software Versions, Google Cloud, Information Technology, Apache Flink, Complex Event Processing, Enterprise Integration, Apache Kafka, Data Management, Video Streaming, Restful APIs, Stream Processing, Data Pipelines, Api Management, Confluent
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4ec0a8dc11ed7fae

## About the Role

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications
BUILD- IT/GOOGLE CLOUD - GenpactGenpact, Certified Data Management Professional - RiversandRiversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures TechnologiesTechieventures Technologies, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Informatica Certified Designer - InformaticaInformatica

Required Skills
Apache Flink, Apache Kafka, Integration Architecture

Language
English

Language Proficiency -
Proficient - C2

## Description

+ Architect and design end-to-end enterprise integration solutions across source systems, CDC pipelines, enterprise bus, middleware, and API layers.
 + Define and implement integration patterns for:
o Real-time event-driven communication
o Near real-time synchronization
o Batch data movement
o Hybrid integration scenarios

 + Design scalable CDC Enterprise Bus Middleware APIM data flow architecture for enterprise-wide data exchange.
 + Lead architecture and solution design for event-driven platforms using Kafka / Confluent and related streaming technologies.
 + Design and govern Kafka-based streaming pipelines, including:
o Topic strategy and partitioning
o Producer/consumer patterns
o Schema management
o Message durability and replay
o Error handling and dead-letter queue patterns

 + Build and optimize streaming transformations using:
o Single Message Transforms (SMT)
o KSQLDB for stream processing and enrichment
o Apache Flink for advanced stateful event processing and analytics

 + Define and govern API contracts for enterprise integrations, including:
o REST API design standards
o POST methods for product data ingestion
o Payload schemas and validation rules
o API versioning strategy
o Contract lifecycle governance

 + Design reusable integration components and frameworks for:
o Routing and orchestration
o Data transformation
o Schema evolution
o Retry and resiliency patterns
o Exception handling
o Monitoring and observability

 + Establish enterprise standards for:
o Integration architecture
o Security and compliance
o API governance
o Message schema standards
o Performance optimization

 + Collaborate with business stakeholders, product owners, engineering teams, and enterprise architects to translate business requirements into technical solution designs.
 + Conduct architecture reviews, solution validations, and technical governance checkpoints.
 + Support delivery teams in resolving critical technical challenges during implementation.
 + Prior experience on Finance data transformation will be great