Sr. Data Architect - Data Engineering

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 ther 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.

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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
- Genpact Genpact, Certified Data Management Professional
- Riversand Riversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techie ventures Technologies Techie ventures Technologies, IBM Certified Solution Developer
- Web Sphere IIS Data Stage Enterprise Edition v7.5 - IBMIBM, Informatica Certified Designer
- Informatica Informatica

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.

• Lead AI-powered transformation
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