Senior BI Platform Operations Engineer

Required Skills & Experience

· Strong hands-on experience supporting enterprise BI platforms in production environments.

· Strong experience with Tableau Server administration and operational support.

· Strong hands-on experience with Amazon QuickSight administration, authoring, and production support.

· Experience supporting and troubleshooting QuickSight Analyses, Dashboards, Datasets, Data Sources, Themes, Folders, Templates, permissions, and related assets.

· Experience troubleshooting SPICE ingestion, dataset refreshes, direct queries, data-source connectivity, dashboard publishing, sharing, and access issues.

· Experience with Amazon QuickSight APIs / AWS SDKs, including programmatic management of QuickSight assets and permissions.

· Working knowledge of Amazon Athena and troubleshooting Athena-based BI workloads.

· Working knowledge of the AWS Glue Data Catalog, including databases, tables, schemas, partitions, and metadata.

· Understanding of AWS Lake Formation, particularly permissions and data-access management.

· Experience with AWS Lambda and troubleshooting serverless application components.

· Experience with Amazon API Gateway, particularly Lambda integrations and REST APIs.

· Strong understanding of RESTful API concepts and experience troubleshooting API integrations.

· Hands-on experience with Amazon CloudWatch, including logs, metrics, dashboards, and alarms.

· Strong understanding of AWS IAM, roles, policies, permissions, and service-to-service access.

· Experience troubleshooting BI platform infrastructure, data connectivity, authentication, authorization, permissions, and performance issues.

· Ability to analyze application, server, API, Lambda, and AWS service logs to troubleshoot issues across multiple technology layers.

· Experience with production incident management, problem management, and root-cause analysis.

· Experience with scripting or automation using technologies such as Python, PowerShell, Bash, AWS CLI, or similar tools.

· Strong troubleshooting, analytical, documentation, and communication skills.