Senior BI Platform Operations Engineer

Senior BI Platform Operations Engineer

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.

For Canada this role is for subcontractor.

For NYC: compensation 90000-115000 UAS Gross per year and based on your interview results.

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.