Description
<h3>Job Description</h3><div><p>We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise Business Intelligence platforms and associated AWS services.</p>\n<p>The role will primarily support Tableau and Amazon QuickSight / Amazon Quick Suite, including a custom BI-as-a-Service (BIaaS) platform built on top of Amazon QuickSight. The BIaaS platform consists of multiple backend services, RESTful APIs, AWS serverless and data services, and a web-based user interface.</p>\n<p>This is primarily a platform engineering and production support role, rather than a dashboard/report development position. The successful candidate will be comfortable troubleshooting across BI, application, API, data, AI-assisted analytics, and cloud infrastructure layers and working with engineering teams to maintain a reliable and stable production service.</p>\n<p><br /></p>\n<p><br /></p>\n<p><strong>Responsibilities</strong></p>\n<p>Production Operations & Support</p>\n<p>· Provide day-to-day production operational support for Tableau, Amazon QuickSight / Quick Suite, the BI-as-a-Service platform, and its supporting AWS services.</p>\n<p>· Monitor platform availability, performance, capacity, scheduled workloads, and overall service health.</p>\n<p>· Investigate and resolve production incidents, user issues, failed jobs, connectivity problems, access issues, API failures, and platform errors.</p>\n<p>· Perform root-cause analysis and work with engineering, application, data, and infrastructure teams to resolve recurring issues.</p>\n<p>· Support incident, problem, release, and change-management processes.</p>\n<p>· Develop and maintain operational runbooks, troubleshooting procedures, and support documentation.</p>\n<p>· Identify opportunities to automate repetitive operational and administrative activities.</p>\n<p>· Proactively identify platform health, reliability, and supportability improvements.</p>\n<p>Tableau Platform Administration</p>\n<p>· Administer and maintain the enterprise Tableau Server environment.</p>\n<p>· Support Tableau Server infrastructure, configuration, upgrades, patching, and platform maintenance.</p>\n<p>· Manage sites, projects, users, groups, permissions, and content access.</p>\n<p>· Troubleshoot extracts, refresh schedules, data-source connectivity, authentication, and performance issues.</p>\n<p>· Monitor Tableau Server processes, logs, resource utilization, and platform health.</p>\n<p>· Assist with platform upgrades, migrations, configuration changes, and infrastructure-related activities.</p>\n<p>Amazon QuickSight / Quick Suite Administration, Authoring & Support</p>\n<p>· Provide day-to-day Amazon QuickSight / Quick Suite production support, administration, and operational troubleshooting.</p>\n<p>· Support the lifecycle, administration, and troubleshooting of BI and analytics assets, including:</p>\n<p>o Analyses</p>\n<p>o Dashboards</p>\n<p>o Datasets</p>\n<p>o Data Sources</p>\n<p>o Themes</p>\n<p>o Folders</p>\n<p>o Templates</p>\n<p>o Topics and conversational BI capabilities</p>\n<p>o Other QuickSight / Quick Suite assets and platform objects</p>\n<p>· Troubleshoot issues related to creating, updating, publishing, sharing, and accessing analyses and dashboards.</p>\n<p>· Support QuickSight authoring capabilities and assist authors with analysis, visualization, dataset, data-source, dashboard, and semantic configuration issues.</p>\n<p>· Troubleshoot dataset ingestion and refresh failures, including SPICE ingestion, scheduled refreshes, and direct-query scenarios.</p>\n<p>· Diagnose data-source connectivity and access issues involving Amazon Athena and other supported data sources.</p>\n<p>· Support and troubleshoot themes and reusable assets, including permissions and sharing.</p>\n<p>· Manage and troubleshoot users, groups, namespaces, folders, asset permissions, and access controls.</p>\n<p>· Troubleshoot dashboard and analysis permissions, sharing, ownership, and access issues.</p>\n<p>· Understand and troubleshoot security and AWS integrations, including IAM-based access and permissions.</p>\n<p>· Support and troubleshoot programmatic management of QuickSight assets using QuickSight APIs and AWS SDKs.</p>\n<p>· Troubleshoot API operations involving analyses, dashboards, datasets, data sources, themes, permissions, and other supported assets.</p>\n<p>· Support embedded QuickSight capabilities and troubleshoot embedding, authentication, authorization, and access-related issues where applicable.</p>\n<p>Amazon Q / Generative BI & Quick Suite Capabilities</p>\n<p>· Support and develop operational familiarity with Amazon Q capabilities within QuickSight / Quick Suite, including natural-language and generative BI experiences.</p>\n<p>· Support Amazon Q Topics and associated semantic configurations used to provide business context for natural-language analytics.</p>\n<p>· Troubleshoot user access, permissions, data availability, semantic configuration, and other issues affecting Amazon Q experiences.</p>\n<p>· Support conversational BI capabilities that allow users to ask questions of enterprise data using natural language.</p>\n<p>· Support newer Quick Suite conversational and agentic experiences, including chat agents, agents, and spaces, where adopted by the platform.</p>\n<p>· Understand how Spaces organize relevant data, content, context, and resources used by Quick Suite experiences.</p>\n<p>· Assist with operational support and troubleshooting of Amazon Q / Quick Suite agents, including access, configuration, underlying data/content availability, and integration-related issues.</p>\n<p>· Work with platform and engineering teams as Amazon Q and Quick Suite capabilities evolve and are incorporated into the BI-as-a-Service offering.</p>\n<p>BI-as-a-Service Platform</p>\n<p>Provide operational and technical support for our internally developed BI-as-a-Service platform built on Amazon QuickSight, including the AWS data, API, serverless, monitoring, and analytics services that underpin the platform.</p>\n<p>Platform & QuickSight Integration</p>\n<p>· Understand the end-to-end BIaaS architecture and troubleshoot issues across APIs, backend services, AWS infrastructure, data services, QuickSight, and Quick Suite capabilities.</p>\n<p>· Support integrations with Amazon QuickSight using QuickSight APIs and AWS SDKs.</p>\n<p>· Troubleshoot the programmatic creation, update, deployment, sharing, and management of QuickSight assets.</p>\n<p>· Troubleshoot asset provisioning, permissions, embedding, authentication, authorization, and other QuickSight integration workflows.</p>\n<p>· Analyze application and AWS service logs to diagnose production issues.</p>\n<p>· Work closely with platform engineering and development teams to identify defects and implement sustainable fixes.</p>\n<p>· Assist with deployments, configuration changes, environment maintenance, and production releases.</p>\n<p>AWS Data & Analytics Services</p>\n<p>· Support and troubleshoot Amazon Athena queries and integrations used by BI applications and reporting workloads.</p>\n<p>· Understand Athena connectivity, permissions, workgroups, query execution, and common performance or operational issues.</p>\n<p>· Support the AWS Glue Data Catalog, including databases, tables, metadata, schemas, partitions, and integrations with Athena and QuickSight.</p>\n<p>· Troubleshoot metadata, schema, partition, and data-discovery issues involving the Glue Data Catalog.</p>\n<p>· Understand and support AWS Lake Formation permissions and data-access controls.</p>\n<p>· Troubleshoot access issues across Lake Formation, Glue Data Catalog, Athena, IAM, and QuickSight.</p>\n<p>· Understand the end-to-end data-access path from underlying data sources through Athena and the Glue Data Catalog to QuickSight.</p>\n<p>AWS Serverless & REST API Services</p>\n<p>· Support and troubleshoot AWS Lambda functions used by the BI-as-a-Service platform.</p>\n<p>· Understand Lambda configuration, IAM roles, environment variables, triggers, execution failures, and timeouts.</p>\n<p>· Support Amazon API Gateway endpoints integrated with Lambda and other backend services.</p>\n<p>· Troubleshoot API Gateway routing, <span>authentication/authorization,</span> request and response handling, integration failures, and HTTP errors.</p>\n<p>· Understand and troubleshoot RESTful APIs, including HTTP methods, headers, request/response payloads, authentication, authorization, and error handling.</p>\n<p>· Use API testing and troubleshooting techniques to diagnose service integration issues.</p>\n<p>· Understand interactions between API Gateway, Lambda functions, backend services, AWS APIs, and QuickSight APIs.</p>\n<p>Monitoring & Observability</p>\n<p>· Use Amazon CloudWatch to monitor and troubleshoot the BIaaS platform and its supporting AWS services.</p>\n<p>· Analyze CloudWatch Logs, metrics, dashboards, and alarms to identify and diagnose production issues.</p>\n<p>· Troubleshoot Lambda executions and API Gateway requests using CloudWatch logging and metrics.</p>\n<p>· Correlate events and logs across multiple services to identify the source of end-to-end transaction failures.</p>\n<p>· Support and improve operational monitoring, alerting, and platform-health dashboards.</p>\n<p>· Identify monitoring gaps and opportunities to improve proactive detection of production issues.</p>\n<p><strong>Skills</strong></p>\n<p>Must have</p>\n<p>Required Skills & Experience</p>\n<p>· Strong hands-on experience supporting enterprise BI platforms in production environments.</p>\n<p>· Strong experience with Tableau Server administration and operational support.</p>\n<p>· Strong hands-on experience with Amazon QuickSight administration, authoring, and production support.</p>\n<p>· Experience supporting and troubleshooting QuickSight Analyses, Dashboards, Datasets, Data Sources, Themes, Folders, Templates, permissions, and related assets.</p>\n<p>· Experience troubleshooting SPICE ingestion, dataset refreshes, direct queries, data-source connectivity, dashboard publishing, sharing, and access issues.</p>\n<p>· Experience with Amazon QuickSight APIs / AWS SDKs, including programmatic management of QuickSight assets and permissions.</p>\n<p>· Working knowledge of Amazon Athena and troubleshooting Athena-based BI workloads.</p>\n<p>· Working knowledge of the AWS Glue Data Catalog, including databases, tables, schemas, partitions, and metadata.</p>\n<p>· Understanding of AWS Lake Formation, particularly permissions and data-access management.</p>\n<p>· Experience with AWS Lambda and troubleshooting serverless application components.</p>\n<p>· Experience with Amazon API Gateway, particularly Lambda integrations and REST APIs.</p>\n<p>· Strong understanding of RESTful API concepts and experience troubleshooting API integrations.</p>\n<p>· Hands-on experience with Amazon CloudWatch, including logs, metrics, dashboards, and alarms.</p>\n<p>· Strong understanding of AWS IAM, roles, policies, permissions, and service-to-service access.</p>\n<p>· Experience troubleshooting BI platform infrastructure, data connectivity, authentication, authorization, permissions, and performance issues.</p>\n<p>· Ability to analyze application, server, API, Lambda, and AWS service logs to troubleshoot issues across multiple technology layers.</p>\n<p>· Experience with production incident management, problem management, and root-cause analysis.</p>\n<p>· Experience with scripting or automation using technologies such as Python, PowerShell, Bash, AWS CLI, or similar tools.</p>\n<p>· Strong troubleshooting, analytical, documentation, and communication skills.</p>\n<p>Nice to have</p>\n<p>· Experience or familiarity with Amazon Q in QuickSight / Quick Suite, including conversational and generative BI capabilities.</p>\n<p>· Experience with Amazon Q Topics and semantic configuration for natural-language analytics.</p>\n<p>· Familiarity with Quick Suite agents, chat/agent experiences, and Spaces.</p>\n<p>· Understanding of modern web applications and experience with Angular, JavaScript, or TypeScript.</p>\n<p>· Experience operating a BI Platform-as-a-Service or BI-as-a-Service environment.</p>\n<p>· Experience supporting custom applications built around Amazon QuickSight APIs.</p>\n<p>· Experience with embedded QuickSight and programmatic dashboard or asset management.</p>\n<p>· Experience troubleshooting end-to-end data flows involving QuickSight, Athena, Glue Data Catalog, Lake Formation, S3, and IAM.</p>\n<p>· Experience supporting serverless architectures involving API Gateway and Lambda.</p>\n<p>· Experience with Tableau Server infrastructure upgrades, backup/restore, monitoring, and performance tuning.</p>\n<p>· Familiarity with CI/CD pipelines and application deployment processes.</p>\n<p>· Familiarity with infrastructure-as-code and cloud deployment practices.</p>\n<p>· Familiarity with ITIL-based incident, problem, and change-management practices.</p>\n<p>· Experience supporting enterprise environments with strong security, governance, and access-control requirements.</p></div>