Sr. Data Architect - Data Engineering 3

Architect and design end-to-end data integration patterns across Change Data Capture (CDC), Enterprise Service Bus (ESB), Middleware, and API Management (APIM) layers.

Define scalable integration frameworks for real-time, near real-time, and batch data ingestion , ensuring high availability, resilience, and observability.

Design and implement event-driven architectures using Apache Kafka / Confluent Platform , enabling reliable event streaming and asynchronous processing.

Develop streaming data pipelines using: Single Message Transforms (SMT) for event transformation ksqlDB for real-time stream processing Apache Flink for advanced stateful computation and analytics

Single Message Transforms (SMT) for event transformation

ksqlDB for real-time stream processing

Apache Flink for advanced stateful computation and analytics

Define and govern API contracts for product data ingestion, including POST APIs via APIM , ensuring standardization, versioning, and backward compatibility.

Design reusable integration components for: Data validation Schema evolution Error handling & retries Dead-letter queues (DLQ) Monitoring and alerting

Data validation

Schema evolution

Error handling & retries

Dead-letter queues (DLQ)

Monitoring and alerting

Establish enterprise standards for: API security (OAuth, JWT, mTLS) Data governance Metadata management Message schema design (Avro/JSON/Protobuf)

API security (OAuth, JWT, mTLS)

Data governance

Metadata management

Message schema design (Avro/JSON/Protobuf)

Collaborate with business, product, data engineering, and platform teams to translate functional requirements into robust technical architecture.

Provide architecture governance, design reviews, and technical leadership to development teams.

Ensure compliance with enterprise security, scalability, and performance standards.

Prior experience on Finance data transformation will be great

Required Skills & Experience

experience in data integration, middleware, or enterprise architecture

Strong expertise in: CDC tools (e.g., Debezium , GoldenGate) Enterprise Integration / ESB platforms API Management platforms Messaging and event streaming architectures

CDC tools (e.g., Debezium , GoldenGate)

Enterprise Integration / ESB platforms

API Management platforms

Messaging and event streaming architectures

Hands-on experience with: Apache Kafka Confluent Platform Kafka Connect SMT ksqlDB Apache Flink

Apache Kafka

Confluent Platform

Kafka Connect

SMT

ksqlDB

Apache Flink

Strong understanding of: Event-driven architecture Microservices integration API design (REST/GraphQL) Schema registry Data contracts

Event-driven architecture

Microservices integration

API design (REST/GraphQL)

Schema registry

Data contracts

Experience with cloud platforms such as: AWS Microsoft Azure Google Cloud

AWS

Microsoft Azure

Google Cloud

Strong knowledge of CI/CD, DevSecOps, infrastructure automation, and observability tooling.

Preferred Qualifications

Experience in product master data integration / product catalog ingestion

Exposure to retail, supply chain, or enterprise product domains

Architecture certifications in cloud or integration platforms

Experience leading enterprise transformation programs

Success Metrics

Reliable and scalable integration architecture delivered

Reduced latency in product data ingestion

Improved API adoption and governance

Enhanced system resiliency and observability

This role is ideal for someone who can bridge data architecture, integration engineering, and API strategy to enable enterprise-scale digital transformation.