Sr. Data Architect - Data Engineering 3
About The Position
At Genpact, we are leading the transformation driven by AI and digital innovation. Our AI Gigafactory is an industry-first accelerator that scales advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. We are looking for individuals who 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. Genpact is an agentic and advanced technology solutions company that leverages process intelligence and artificial intelligence to deliver measurable outcomes. We provide innovative solutions that transform how businesses run, powered by a team with an active learning mindset and client centricity at its core, delivering lasting value for the world’s leading enterprises.
Requirements
- Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
- Apache Flink
- Apache Kafka
- Integration Architecture
- English Language Proficiency - Proficient - C2
Nice To Haves
- BUILD- IT/GOOGLE CLOUD - Genpact
- Certified Data Management Professional - Riversand
- Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures Technologies
- IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBM
- Informatica Certified Designer - Informatica
Responsibilities
- 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, and 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, and error handling and dead-letter queue patterns.
- Build and optimize streaming transformations using Single Message Transforms (SMT), KSQLDB for stream processing and enrichment, and 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, and contract lifecycle governance.
- Design reusable integration components and frameworks for routing and orchestration, data transformation, schema evolution, retry and resiliency patterns, exception handling, and monitoring and observability.
- Establish enterprise standards for integration architecture, security and compliance, API governance, message schema standards, and 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.
Benefits
- Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with 140,000+ bold thinkers and problem-solvers
- Thrive in a values-driven culture built on courage, curiosity, incisiveness, integrity, and inclusion
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
