Senior BI Platform Operations Engineer

Project Description:

• 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.
• 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.
• 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.
• FTE starting 120k

Responsibilities:

• 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.

Mandatory Skills Description:

• 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.

Nice-to-Have Skills Description:

• · Experience or familiarity with Amazon Q in QuickSight / Quick Suite, including conversational and generative BI capabilities.
• · Experience with Amazon Q Topics and semantic configuration for natural-language analytics.
• · Familiarity with Quick Suite agents, chat/agent experiences, and Spaces.
• · Understanding of modern web applications and experience with Angular, JavaScript, or TypeScript.
• · Experience operating a BI Platform-as-a-Service or BI-as-a-Service environment.
• · Experience supporting custom applications built around Amazon QuickSight APIs.
• · Experience with embedded QuickSight and programmatic dashboard or asset management.
• · Experience troubleshooting end-to-end data flows involving QuickSight, Athena, Glue Data Catalog, Lake Formation, S3, and IAM.
• · Experience supporting serverless architectures involving API Gateway and Lambda.
• · Experience with Tableau Server infrastructure upgrades, backup/restore, monitoring, and performance tuning.
• · Familiarity with CI/CD pipelines and application deployment processes.
• · Familiarity with infrastructure-as-code and cloud deployment practices.
• · Familiarity with ITIL-based incident, problem, and change-management practices.
• · Experience supporting enterprise environments with strong security, governance, and access-control requirements.