Sr. Data Architect - Data Engineering 3

Overview

Sr. Data Architect (Data Engineering) focused on designing enterprise-grade data integration and event-driven architectures across ingestion, streaming, and API management layers.

What you'll do

• Architect end-to-end data integration patterns across CDC, ESB, middleware, and APIM.
• Define scalable ingestion frameworks for real-time, near real-time, and batch with high availability, resilience, and observability.
• Design event-driven architectures using Apache Kafka/Confluent Platform for reliable event streaming and asynchronous processing.
• Develop streaming data pipelines with SMT, ksqlDB, and Apache Flink.
• Define and govern API contracts for product data ingestion, including POST APIs via APIM with standardization, versioning, and backward compatibility.
• Build reusable components for data validation, schema evolution, error handling/retries, DLQ, and monitoring/alerting.
• Provide architecture governance, design reviews, and technical leadership to development teams.

What you'll need

• Experience in data integration, middleware, or enterprise architecture.
• Expertise in CDC tools such as Debezium and GoldenGate.
• Hands-on experience with Apache Kafka and Confluent Platform.
• Hands-on experience with Kafka Connect, SMT, and ksqlDB.
• Hands-on experience with Apache Flink for stateful computation and analytics.
• Strong understanding of event-driven architectures and microservices integration (REST/GraphQL) including schema registry.
• Experience with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.

• Proficiency in CI/CD, DevSecOps, infrastructure automation, and observability tooling.

Details

• Location: Bangalore, India.
• Work mode: Remote (Flex Time in India).
• Employment type: Regular.