Senior Data Engineer - In this role, you will architect and implement cloud-native data pipelines, optimize platform performance, and ensure seamless scalability across Azure and Kubernetes environments. This is a high-impact opportunity for a senior professional to shape the next generation of our data infrastructure. Key ResponsibilitiesArchitect, build, and optimize scalable data pipelines using Azure Databricks, Azure Data Factory, and Apache Airflow Lead the end-to-end data migration, ensuring zero-downtime cutover and data integrity Implement Infrastructure-as-Code with Terraform to provision and manage Azure resources and Kubernetes clusters Establish monitoring, alerting, and observability standards using Datadog for proactive issue detection and resolution Collaborate with data scientists, analysts, and platform engineers to translate business requirements into robust technical solutions Need to HavesHands-on experience with Azure Databricks and Azure Data Factory in production environments Proven expertise orchestrating workflows with Apache Airflow and containerizing workloads on Kubernetes Strong proficiency in Terraform for cloud infrastructure automation Advanced monitoring and troubleshooting skills with Datadog or similar observability platforms Strong English skills able to lead technical discussions and author detailed design documents Demonstrated leadership in delivering complex data platform migrations or green-field initiatives