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

This is a remote position.<\/p>

We are 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.

This role will focus on building scalable, metadata\-driven, and cloud\-native integration frameworks supporting enterprise data movement, API orchestration, event processing, and operational workflows across distributed systems.

The ideal candidate will have strong hands\-on experience implementing Azure\-based iPaaS architectures, event\-driven integration patterns, containerized applications, and modern orchestration frameworks involving AKS, messaging platforms, Snowflake, and Astronomer Airflow.<\/span><\/p>

Job Duties<\/span>
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\u2022 <\/span><\/span><\/span>Design and develop cloud\-native iPaaS integration frameworks on Azure<\/span>
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\u2022 <\/span><\/span><\/span>Implement reusable inbound, outbound, and feedback\-driven integration services<\/span>
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\u2022 <\/span><\/span><\/span>Build scalable API orchestration and event\-processing frameworks<\/span>
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\u2022 <\/span><\/span><\/span>Develop canonical integration patterns and standardized payload models<\/span>
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\u2022 <\/span><\/span><\/span>Implement event\-driven architectures using Logic Apps, Azure Service Bus, Event Grid, or Kafka<\/span>
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\u2022 <\/span><\/span><\/span>Develop retry, replay, dead\-letter, and idempotency frameworks<\/span>
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\u2022 <\/span><\/span><\/span>Build containerized microservices using Python and Kubernetes\-based deployment patterns<\/span>
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\u2022 <\/span><\/span><\/span>Develop scalable AKS\-hosted integration applications<\/span>
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\u2022 <\/span><\/span><\/span>Build REST APIs and integration services<\/span>
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\u2022 <\/span><\/span><\/span>Build and support workflow orchestration frameworks using Astronomer Airflow / Apache Airflow<\/span>
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\u2022 <\/span><\/span><\/span>Develop metadata\-driven pipeline orchestration frameworks<\/span>
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\u2022 <\/span><\/span><\/span>Develop Snowflake integration workflows and operational frameworks<\/span>
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\u2022 <\/span><\/span><\/span>Develop Cosmos DB integration services and operational frameworks<\/span>
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\u2022 <\/span><\/span><\/span>Implement centralized logging, audit, and operational monitoring frameworks<\/span>
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Must Have Qualifications<\/span>
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\u2022 <\/span><\/span><\/span>5\u20138+ years of experience in Cloud Data Engineering, Integration Engineering, or Distributed Systems development<\/span>
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\u2022 <\/span><\/span><\/span>Strong hands\-on expertise with Microsoft Azure cloud services<\/span>
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\u2022 <\/span><\/span><\/span>Strong experience implementing enterprise integration platforms and event\-driven workflows<\/span>
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\u2022 <\/span><\/span><\/span>Hands\-on experience with Azure Service Bus, Event Grid, messaging, and asynchronous processing<\/span>
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\u2022 <\/span><\/span><\/span>Strong understanding of retry frameworks, replay mechanisms, dead\-letter handling, and idempotency<\/span>
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\u2022 <\/span><\/span><\/span>Strong experience with Kubernetes and Azure Kubernetes Service (AKS)<\/span>
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\u2022 <\/span><\/span><\/span>Hands\-on expertise with Docker containerization<\/span>
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\u2022 <\/span><\/span><\/span>Strong Python development experience<\/span>
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\u2022 <\/span><\/span><\/span>Experience building REST APIs and event\-processing applications<\/span>
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\u2022 <\/span><\/span><\/span>Strong hands\-on experience with Astronomer Airflow / Apache Airflow<\/span>
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\u2022 <\/span><\/span><\/span>Hands\-on experience integrating enterprise data platforms with Snowflake<\/span>
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\u2022 <\/span><\/span><\/span>Familiarity with deploying applications using Helm Charts and Kubernetes manifests<\/span>
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\u2022 <\/span><\/span><\/span>Familiarity with CI/CD pipelines and cloud\-native deployment practices<\/span>
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Good to Have Qualifications<\/span>
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\u2022 <\/span><\/span><\/span>Familiarity with Terraform or Infrastructure as Code concepts<\/span>
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\u2022 <\/span><\/span><\/span>Exposure to Azure Key Vault and secure secret consumption patterns<\/span>
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\u2022 <\/span><\/span><\/span>Familiarity with Kafka and real\-time streaming architectures<\/span>
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\u2022 <\/span><\/span><\/span>Exposure to metadata\-driven orchestration or integration frameworks<\/span>
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\u2022 <\/span><\/span><\/span>Experience with monitoring platforms such as Azure Monitor, App Insights, Grafana, or Prometheus<\/span>
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\u2022 <\/span><\/span><\/span>Familiarity with AI\-assisted workflow orchestration or agentic execution frameworks<\/span>
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\u2022 <\/span><\/span><\/span>Experience with GitOps, Ansible, ARM Templates, or Bicep<\/span>
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\u2022 <\/span><\/span><\/span>Azure, Kubernetes, or Snowflake certifications<\/span>
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Preferred Technical Stack<\/span>
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Cloud<\/span> <\/p><\/td>\n	<\/span>Azure<\/span> <\/p><\/td>\n <\/tr>\n
Container Platform<\/span> <\/p><\/td>\n	<\/span>AKS, Docker<\/span> <\/p><\/td>\n <\/tr>\n
Integration & Messaging<\/span> <\/p><\/td>\n	<\/span>Logic Apps, Azure Service Bus, Event Grid, Kafka<\/span> <\/p><\/td>\n <\/tr>\n
Orchestration<\/span> <\/p><\/td>\n	<\/span>Astronomer Airflow, Apache Airflow<\/span> <\/p><\/td>\n <\/tr>\n
Data Platform<\/span> <\/p><\/td>\n	<\/span>Snowflake, CosmosDB<\/span> <\/p><\/td>\n <\/tr>\n
Deployment<\/span> <\/p><\/td>\n	<\/span>Helm Charts, Kubernetes YAML<\/span> <\/p><\/td>\n <\/tr>\n
CI/CD<\/span> <\/p><\/td>\n	<\/span>Azure DevOps, GitHub Actions<\/span> <\/p><\/td>\n <\/tr>\n
Programming<\/span> <\/p><\/td>\n	<\/span>Python, Bash<\/span> <\/p><\/td>\n <\/tr>\n
Monitoring<\/span> <\/p><\/td>\n	<\/span>Azure Monitor, App Insights, Grafana<\/span> <\/p><\/td>\n <\/tr>\n <\/tbody>\n <\/table> <\/span> <\/p>\n \n \n <\/div><\/span> \n <\/body>\n<\/html>