Senior BI Platform Operations Engineer

Production Operations & Support

· Provide 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 & Support

· Provide 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:

o Analyses

o Dashboards

o Datasets

o Data Sources

o Themes

o Folders

o Templates

o Topics and conversational BI capabilities

o 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.

BI-as-a-Service Platform

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.

Platform & QuickSight Integration

· Understand the end-to-end BIaaS architecture and troubleshoot issues across APIs, backend services, AWS infrastructure, data services, QuickSight, and Quick Suite capabilities.

· Support integrations with Amazon QuickSight using QuickSight APIs and AWS SDKs.

· Troubleshoot the programmatic creation, update, deployment, sharing, and management of QuickSight assets.

· Troubleshoot asset provisioning, permissions, embedding, authentication, authorization, and other QuickSight integration workflows.

· Analyze application and AWS service logs to diagnose production issues.

· Work closely with platform engineering and development teams to identify defects and implement sustainable fixes.

· Assist with deployments, configuration changes, environment maintenance, and production releases.

AWS Data & Analytics Services

· Support and troubleshoot Amazon Athena queries and integrations used by BI applications and reporting workloads.

· Understand Athena connectivity, permissions, workgroups, query execution, and common performance or operational issues.

· Support the AWS Glue Data Catalog, including databases, tables, metadata, schemas, partitions, and integrations with Athena and QuickSight.

· Troubleshoot metadata, schema, partition, and data-discovery issues involving the Glue Data Catalog.

· Understand and support AWS Lake Formation permissions and data-access controls.

· Troubleshoot access issues across Lake Formation, Glue Data Catalog, Athena, IAM, and QuickSight.

· Understand the end-to-end data-access path from underlying data sources through Athena and the Glue Data Catalog to QuickSight.

AWS Serverless & REST API Services

· Support and troubleshoot AWS Lambda functions used by the BI-as-a-Service platform.

· Understand Lambda configuration, IAM roles, environment variables, triggers, execution failures, and timeouts.

· Support Amazon API Gateway endpoints integrated with Lambda and other backend services.

· Troubleshoot API Gateway routing, authentication/authorization, request and response handling, integration failures, and HTTP errors.

· Understand and troubleshoot RESTful APIs, including HTTP methods, headers, request/response payloads, authentication, authorization, and error handling.

· Use API testing and troubleshooting techniques to diagnose service integration issues.

· Understand interactions between API Gateway, Lambda functions, backend services, AWS APIs, and QuickSight APIs.

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.