Senior Cloud Data Engineer – IPaaS & Event\-Driven Platform Engineering

BBI is seeking a highly skilled and experienced Senior Cloud Data Engineer to design, develop, and support enterprise-scale iPaaS and event-driven data integration platforms on Microsoft Azure. The role focuses on building scalable integration frameworks, API orchestration, and operational workflows across distributed systems.

Responsibilities:

• Design and develop cloud-native iPaaS integration frameworks on Azure
• Implement reusable inbound, outbound, and feedback-driven integration services
• Build scalable API orchestration and event-processing frameworks
• Develop canonical integration patterns and standardized payload models
• Implement event-driven architectures using Logic Apps, Azure Service Bus, Event Grid, or Kafka
• Develop retry, replay, dead-letter, and idempotency frameworks
• Build containerized microservices using Python and Kubernetes-based deployment patterns
• Develop scalable AKS-hosted integration applications
• Build REST APIs and integration services
• Build and support workflow orchestration frameworks using Astronomer Airflow / Apache Airflow
• Develop metadata-driven pipeline orchestration frameworks
• Develop Snowflake integration workflows and operational frameworks
• Develop Cosmos DB integration services and operational frameworks
• Implement centralized logging, audit, and operational monitoring frameworks

Requirements:

• 5–8+ years of experience in Cloud Data Engineering, Integration Engineering, or Distributed Systems development
• Strong hands-on expertise with Microsoft Azure cloud services
• Strong experience implementing enterprise integration platforms and event-driven workflows
• Hands-on experience with Azure Service Bus, Event Grid, messaging, and asynchronous processing
• Strong understanding of retry frameworks, replay mechanisms, dead-letter handling, and idempotency
• Strong experience with Kubernetes and Azure Kubernetes Service (AKS)
• Hands-on expertise with Docker containerization
• Strong Python development experience
• Experience building REST APIs and event-processing applications
• Strong hands-on experience with Astronomer Airflow / Apache Airflow
• Hands-on experience integrating enterprise data platforms with Snowflake
• Familiarity with deploying applications using Helm Charts and Kubernetes manifests
• Familiarity with CI/CD pipelines and cloud-native deployment practices
• Familiarity with Terraform or Infrastructure as Code concepts
• Exposure to Azure Key Vault and secure secret consumption patterns
• Familiarity with Kafka and real-time streaming architectures
• Exposure to metadata-driven orchestration or integration frameworks
• Experience with monitoring platforms such as Azure Monitor, App Insights, Grafana, or Prometheus
• Familiarity with AI-assisted workflow orchestration or agentic execution frameworks
• Experience with GitOps, Ansible, ARM Templates, or Bicep
• Azure, Kubernetes, or Snowflake certifications