Senior BI Platform Operations Engineer

Responsibilities: Production Operations & SupportProvide day-to-day production operational support for Tableau, Amazon QuickSight / Quick Suite, the BI-as-a-Service platform, and its supporting AWS services. Monitor platform availability, performance, capacity, scheduled workloads, and overall service health. Investigate and resolve production incidents, user issues, failed jobs, connectivity problems, access issues, API failures, and platform errors. Perform root-cause analysis and work with engineering, application, data, and infrastructure teams to resolve recurring issues. Support incident, problem, release, and change-management processes. Develop and maintain operational runbooks, troubleshooting procedures, and support documentation. Identify opportunities to automate repetitive operational and administrative activities. Proactively identify platform health, reliability, and supportability improvements.

Tableau Platform Administration: Administer and maintain the enterprise Tableau Server environment. Support Tableau Server infrastructure, configuration, upgrades, patching, and platform maintenance. Manage sites, projects, users, groups, permissions, and content access. Troubleshoot extracts, refresh schedules, data-source connectivity, authentication, and performance issues. Monitor Tableau Server processes, logs, resource utilization, and platform health. Assist with platform upgrades, migrations, configuration changes, and infrastructure-related activities. Amazon QuickSight / Quick Suite Administration, Authoring & SupportProvide day-to-day Amazon QuickSight / Quick Suite production support, administration, and operational troubleshooting. Support the lifecycle, administration, and troubleshooting of BI and analytics assets, including: Analyses DashboardsDatasetsData Sources ThemesFoldersTemplatesTopics and conversational BI capabilities Other QuickSight / Quick Suite assets and platform objects Troubleshoot issues related to creating, updating, publishing, sharing, and accessing analyses and dashboards. Support QuickSight authoring capabilities and assist authors with analysis, visualization, dataset, data-source, dashboard, and semantic configuration issues. Troubleshoot dataset ingestion and refresh failures, including SPICE ingestion, scheduled refreshes, and direct-query scenarios. Diagnose data-source connectivity and access issues involving Amazon Athena and other supported data sources. Support and troubleshoot themes and reusable assets, including permissions and sharing. Manage and troubleshoot users, groups, namespaces, folders, asset permissions, and access controls.troubleshoot dashboard and analysis permissions, sharing, ownership, and access issues. Understand and troubleshoot security and AWS integrations, including IAM-based access and permissions. Support and troubleshoot programmatic management of QuickSight assets using QuickSight APIs and AWS SDKs. Troubleshoot API operations involving analyses, dashboards, datasets, data sources, themes, permissions, and other supported assets. Support embedded QuickSight capabilities and troubleshoot embedding, authentication, authorization, and access-related issues where applicable. Amazon Q / Generative BI & Quick Suite Capabilities Support and develop operational familiarity with Amazon Q capabilities within QuickSight / Quick Suite, including natural-language and generative BI experiences. Support Amazon Q Topics and associated semantic configurations used to provide business context for natural-language analytics. Troubleshoot user access, permissions, data availability, semantic configuration, and other issues affecting Amazon Q experiences. Support conversational BI capabilities that allow users to ask questions of enterprise data using natural language. Support newer Quick Suite conversational and agentic experiences, including chat agents, agents, and spaces, where adopted by the platform. Understand how Spaces organize relevant data, content, context, and resources used by Quick Suite experiences. Assist with operational support and troubleshooting of Amazon Q / Quick Suite agents, including access, configuration, underlying data/content availability, and integration-related issues. Work with platform and engineering teams as Amazon Q and Quick Suite capabilities evolve and are incorporated into the BI-as-a-Service offering.

Monitoring & Observability: Use Amazon CloudWatch to monitor and troubleshoot the BIaaS platform and its supporting AWS services. Analyze CloudWatch Logs, metrics, dashboards, and alarms to identify and diagnose production issues. Troubleshoot Lambda executions and API Gateway requests using CloudWatch logging and metrics. Correlate events and logs across multiple services to identify the source of end-to-end transaction failures. Support and improve operational monitoring, alerting, and platform-health dashboards. Identify monitoring gaps and opportunities to improve proactive detection of production issues.