Sr. Data Architect - Data Engineering

Sr. Data Architect 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. Get to know us at  and on Linked In, You Tube, 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
  - Genpact Genpact
• Certified Data Management Professional
  - Riversand Riversand
• Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures Technologies Techieventures Technologies
• IBM Certified Solution Developer
  - Web Sphere IIS Data Stage Enterprise Edition v7.5 - IBMIBM
• Informatica Certified Designer
  - Informatica Informatica

Required Skills Apache Flink, Apache Kafka,…