Data Architect - Data Engineering 4D

{ "jobLocation" : { "@type" : "Place", "address" : { "@type" : "PostalAddress", "addressCountry" : "India", "addressLocality" : "1401-G-India: Pegasus 2, Plot A 8A, Noida, UP" } }, "applicantLocationRequirements" : { "@type" : "Country", "name" : "India" }, "jobLocationType" : "TELECOMMUTE", "hiringOrganization" : { "name" : "1401 Genpact India Pvt. Ltd.", "@type" : "Organization", "sameAs" : "" }, "identifier" : { "name" : "Data Architect - Data Engineering 4D", "@type" : "PropertyValue", "value" : "JR10015502" }, "datePosted" : "2026-07-21", "validThrough" : "2026-09-01", "employmentType" : "FULL_TIME", "title" : "Data Architect - Data Engineering 4D", "description" : "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 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. Job Description Key Responsibilities Design, develop, and manage enterprise-grade real-time data pipelines using Apache Kafka and the Confluent Platform. Build, configure, and maintain Change Data Capture (CDC) pipelines using Debezium, SAP CDC, and other enterprise CDC connectors. Configure and manage Kafka topics, partitions, replication, retention policies, and security for multiple source systems. Manage and maintain Confluent Schema Registry, including schema evolution, compatibility, and governance. Deploy, configure, and optimize Enterprise Bus consumers and producers to support data ingestion from 29 source systems. Design scalable event-driven integration patterns to enable reliable, low-latency data movement across enterprise applications. Monitor Kafka clusters and optimize performance, throughput, latency, and resource utilization. Implement fault-tolerant messaging, retry mechanisms, dead-letter queues (DLQs), and disaster recovery strategies. Collaborate with Data Architects, Integration Architects, application teams, and business stakeholders to define messaging patterns and data contracts. Develop automation for deployment, monitoring, and operational support using CI/CD pipelines and Infrastructure as Code where applicable. Troubleshoot production issues related to Kafka clusters, CDC pipelines, message delivery, and consumer performance. Required Skills & Experience Experience in Data Engineering with strong expertise in real-time streaming and messaging platforms. Hands-on experience with Apache Kafka and the Confluent Platform in enterprise environments. Strong experience implementing CDC pipelines using Debezium, SAP CDC, or similar technologies. Expertise in Kafka topics, partitions, replication, consumer groups, producers, Kafka Connect, and Schema Registry. Experience configuring and managing enterprise messaging infrastructure supporting multiple source applications. Strong understanding of event-driven architecture, asynchronous messaging, and