BI Platform Operations Engineer in Toronto

Senior BI Platform Operations Engineer

Client Location is downtown Toronto Ontario, close to TTC and GO service.

Hybrid - In Office 4 days per week - mandatory.

Contract - 6 months, possible renewal.

Target rate range: $75-100hr on B2B.

Project description

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.

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 Quick Sight / Amazon Quick Suite, including a custom BI-as-a-Service (BIaa S) platform built on top of Amazon Quick Sight.

The BIaa S platform consists of multiple backend services, RESTful APIs, AWS serverless and data services, and a web-based user interface.

Responsibilities

• Production Operations & Support
• Provide day-to-day production operational support for Tableau, Amazon Quick Sight / 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 Quick Sight / Quick Suite Administration, Authoring & Support
• Provide day-to-day Amazon Quick Sight / Quick Suite production support, administration, and operational troubleshooting.
• Support the lifecycle, administration, and troubleshooting of BI and analytics assets, including:
• Analyses
• Dashboards
• Datasets
• Data Sources
• Themes
• Folders
• Templates
• Topics and conversational BI capabilities
• Other Quick Sight / Quick Suite assets and platform objects
• Troubleshoot issues related to creating, updating, publishing, sharing, and accessing analyses and dashboards.
• Support Quick Sight 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 Quick Sight assets using Quick Sight APIs and AWS SDKs.
• Troubleshoot API operations involving analyses, dashboards, datasets, data sources, themes, permissions, and other supported assets.
• Support embedded Quick Sight 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 Quick Sight / 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 Quick Sight, including the AWS data, API, serverless, monitoring, and analytics services that underpin the platform.

• Platform & Quick Sight Integration
• Understand the end-to-end BIaa S architecture and troubleshoot issues across APIs, backend services, AWS infrastructure, data services, Quick Sight, and Quick Suite capabilities.
• Support integrations with Amazon Quick Sight using Quick Sight APIs and AWS SDKs.
• Troubleshoot the programmatic creation, update, deployment, sharing, and management of Quick Sight assets.
• Troubleshoot asset provisioning, permissions, embedding, authentication, authorization, and other Quick Sight 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 Quick Sight.
• 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 Quick Sight.
• Understand the end-to-end data-access path from underlying data sources through Athena and the Glue Data Catalog to Quick Sight.
• 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 Quick Sight APIs.
• Monitoring & Observability
• Use Amazon Cloud Watch to monitor and troubleshoot the BIaa S platform and its supporting AWS services.
• Analyze Cloud Watch Logs, metrics, dashboards, and alarms to identify and diagnose production issues.
• Troubleshoot Lambda executions and API Gateway requests using Cloud Watch 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.

Skills

• Required Skills & Experience - Must have
• 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 Quick Sight administration, authoring, and production support.
• Experience supporting and troubleshooting Quick Sight 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 Quick Sight APIs / AWS SDKs, including programmatic management of Quick Sight 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 Cloud Watch, 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, Power Shell, Bash, AWS CLI, or similar tools.
• Strong troubleshooting, analytical, documentation, and communication skills.
• Nice to have
• Experience or familiarity with Amazon Q in Quick Sight / 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, Java Script, or Type Script.
• Experience operating a BI Platform-as-a-Service or BI-as-a-Service environment.
• Experience supporting custom applications built around Amazon Quick Sight APIs.
• Experience with embedded Quick Sight and programmatic dashboard or asset management.
• Experience troubleshooting end-to-end data flows involving Quick Sight, 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.

NOTE: End Client requires final on-site in-person interview.

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