We are seeking a highly skilled Data Platform Engineer to join our growing team, responsible for the implementation, integration, and operational support of modern data platforms across Azure cloud infrastructure. This role requires hands-on expertise in CI/CD pipelines, AKS troubleshooting, DevOps practices, and Starburst Enterprise (SEP) administration. The ideal candidate will act as a technical bridge across internal data, infrastructure, and development teams, driving efficient platform delivery and data integration.
 
Key Responsibilities
                •             Build, maintain, and optimize CI/CD pipelines for data platform components and integrations.
                •             Administer and support Starburst Enterprise (SEP) environments, including:
                •             User/group management and Access Control Lists (ACLs) configuration.
                •             Performance monitoring and issue resolution.
                •             Troubleshooting common SEP connectivity and query issues.
                •             Support and troubleshoot Azure Kubernetes Service (AKS) for containerized workloads.
                •             Implement and manage Helm charts for AKS deployments.
                •             Collaborate with development, security, and data governance teams to align architecture and deployment strategies.
                •             Create and maintain Terraform configurations for basic infrastructure provisioning.
                •             Configure and analyze logs from Dynatrace and Splunk for system health monitoring and incident resolution.
                •             Support data integration and query connectivity across Starburst, Snowflake, Databricks, and Oracle.
                •             Use basic SQL commands to validate data quality, run test queries, and support ETL pipelines.
                •             Drive operational excellence through monitoring, incident response, and root cause analysis.
                •             Maintain platform documentation, including runbooks and configuration standards.
                •             Participate in on-call support rotations and post-incident reviews.
 
Required Skills and Qualifications
                •             4–6 years of experience in cloud platform or DevOps engineering roles.
                •             Strong hands-on experience with:
                •             CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions.
                •             Azure Cloud services, especially arourage.
                •             Starburst Enterprise setup and maintenance.
                •             Helm, Terraform (basic), and Kubernetes concepts.
                •             Working knowledge of Dynatrace, Splunk, and infrastructure monitoring principles.
                •             Familiar with data integration architectures across Snowflake, Databricks, and Oracle.
                •             Basic understanding of SQL and ability to debug query errors and optimize joins.
 
We are seeking a highly skilled Data Platform Engineer to join our growing team, responsible for the implementation, integration, and operational support of modern data platforms across Azure cloud infrastructure. This role requires hands-on expertise in CI/CD pipelines, AKS troubleshooting, DevOps practices, and Starburst Enterprise (SEP) administration. The ideal candidate will act as a technical bridge across internal data, infrastructure, and development teams, driving efficient platform delivery and data integration.
 
Key Responsibilities
                •             Build, maintain, and optimize CI/CD pipelines for data platform components and integrations.
                •             Administer and support Starburst Enterprise (SEP) environments, including:
                •             User/group management and Access Control Lists (ACLs) configuration.
                •             Performance monitoring and issue resolution.
                •             Troubleshooting common SEP connectivity and query issues.
                •             Support and troubleshoot Azure Kubernetes Service (AKS) for containerized workloads.
                •             Implement and manage Helm charts for AKS deployments.
                •             Collaborate with development, security, and data governance teams to align architecture and deployment strategies.
                •             Create and maintain Terraform configurations for basic infrastructure provisioning.
                •             Configure and analyze logs from Dynatrace and Splunk for system health monitoring and incident resolution.
                •             Support data integration and query connectivity across Starburst, Snowflake, Databricks, and Oracle.
                •             Use basic SQL commands to validate data quality, run test queries, and support ETL pipelines.
                •             Drive operational excellence through monitoring, incident response, and root cause analysis.
                •             Maintain platform documentation, including runbooks and configuration standards.
                •             Participate in on-call support rotations and post-incident reviews.
 
Required Skills and Qualifications
                •             4–6 years of experience in cloud platform or DevOps engineering roles.
                •             Strong hands-on experience with:
                •             CI/CD tools such as Azure DevOps, Jenkins, or GitHub Actions.
                •             Azure Cloud services, especially arourage.
                •             Starburst Enterprise setup and maintenance.
                •             Helm, Terraform (basic), and Kubernetes concepts.
                •             Working knowledge of Dynatrace, Splunk, and infrastructure monitoring principles.
                •             Familiar with data integration architectures across Snowflake, Databricks, and Oracle.
                •             Basic understanding of SQL and ability to debug query errors and optimize joins.