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Genpact is seeking a Sr. Data Architect to lead end-to-end enterprise integration design. You will define patterns for real-time, batch, and hybrid data flows and oversee CDC, middleware, and API layers.
This role emphasizes scalable architectures using Kafka/Confluent and governance of schemas and API contracts. You will collaborate with business and engineering teams to translate requirements into robust, scalable solutions, while pushing for best practices in security, performance, and
Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we're at the forefront of it. Genpact's AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world's leading enterprises.
Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook .
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: Real-time event-driven communication
Near real-time synchronization
Batch data movement
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: Topic strategy and partitioning
Producer/consumer patterns
Schema management
Message durability and replay
Error handling and dead-letter queue patterns
Build and optimize streaming transformations using: Single Message Transforms (SMT)
KSQLDB for stream processing and enrichment
Apache Flink for advanced stateful event processing and analytics
Define and govern API contracts for enterprise integrations, including: REST API design standards
POST methods for product data ingestion
Payload schemas and validation rules
API versioning strategy
Contract lifecycle governance
Design reusable integration components and frameworks for: Routing and orchestration
Data transformation
Schema evolution
Retry and resiliency patterns
Exception handling
Monitoring and observability
Establish enterprise standards for: Integration architecture
Security and compliance
API governance
Message schema standards
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
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
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
Apache Flink, Apache Kafka, Integration Architecture
English
Proficient - C2
(empty)
Regular
Data Engineering
Remote
Day Job (United States of America)
100,000 to 125,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.