Overview

We are looking for a hands‑on BI Platform Operations Engineer to support the reliability, administration, maintenance, and ongoing operation of enterprise Business Intelligence platforms and associated AWS services.

This role focuses primarily on production support and platform engineering for Tableau Server, Amazon QuickSight / Quick Suite, and a custom BI‑as‑a‑Service platform built on Amazon QuickSight. You will troubleshoot issues across BI platforms, applications, APIs, data services, AI‑assisted analytics capabilities, and cloud infrastructure.

This is not primarily a dashboard or report development position. You will work closely with engineering, application, data, and infrastructure teams to resolve incidents, improve platform stability, automate operational processes, and maintain a reliable production service.

Primary Location: Toronto, ON or New York City, NY

Work Model: Hybrid 4‑Days Onsite

Employment Type: Contractor

RESPONSIBILITIES:

- Provide day‑to‑day production support for Tableau Server, Amazon QuickSight / Quick Suite, the BI‑as‑a‑Service platform, and supporting AWS services
- Monitor platform availability, performance, capacity, scheduled workloads, and overall service health
- Investigate production incidents, failed jobs, connectivity issues, access problems, API failures, and platform errors
- Perform root‑cause analysis and collaborate with engineering, application, data, and infrastructure teams on sustainable solutions
- Support incident, problem, release, and change‑management activities
- Develop and maintain operational runbooks, troubleshooting procedures, and support documentation




- Identify opportunities to automate repetitive operational and administrative activities
- Administer Tableau Server infrastructure, configuration, sites, projects, users, groups, permissions, and content access
- Troubleshoot Tableau extracts, refresh schedules, authentication, data‑source connectivity, performance, and resource utilization
- Support Tableau Server upgrades, patching, migrations, configuration changes, and platform maintenance
- Administer and troubleshoot Amazon QuickSight / Quick Suite analyses, dashboards, datasets, data sources, themes, folders, templates, and related assets
- Support QuickSight authors with visualization, dataset, data‑source, dashboard, and semantic configuration issues
- Troubleshoot SPICE ingestion, dataset refreshes, direct‑query scenarios, dashboard publishing, sharing, ownership, and access
- Manage and troubleshoot QuickSight users, groups, namespaces, folders, permissions, and access controls
- Support programmatic management of QuickSight assets and permissions using QuickSight APIs and AWS SDKs
- Troubleshoot embedded QuickSight, authentication, authorization, and asset‑provisioning workflows
- Support Amazon Q Topics and other conversational or generative BI capabilities within QuickSight / Quick Suite
- Troubleshoot integrations across QuickSight, Athena, AWS Glue Data Catalog, Lake Formation, S3, and IAM




- Support AWS Lambda functions, Amazon API Gateway endpoints, and RESTful API integrations used by the BI platform
- Use Amazon CloudWatch logs, metrics, dashboards, and alarms to identify and resolve production issues
- Correlate application and AWS service logs to diagnose failures across multiple technology layers
- Assist with deployments, configuration changes, environment maintenance, and production releases
- Improve platform monitoring, alerting, reliability, supportability, and operational readiness

QUALIFICATIONS, SKILLS & EXPERIENCE:

- Hands‑on experience supporting enterprise BI platforms in production environments
- Strong experience with Tableau Server administration and operational support
- Robust hands‑on experience with Amazon QuickSight administration, authoring, and production support
- Experience supporting QuickSight analyses, dashboards, datasets, data sources, themes, folders, templates, permissions, and related assets
- Experience troubleshooting SPICE ingestion, scheduled refreshes, direct queries, data‑source connectivity, publishing, sharing, and access issues
- Experience using QuickSight APIs or AWS SDKs to manage BI assets and permissions programmatically
- Working knowledge of Amazon Athena and experience troubleshooting Athena‑based BI workloads
- Working knowledge of AWS Glue Data Catalog databases, tables, schemas, partitions, and metadata
- Understanding of AWS Lake Formation permissions and data‑access controls
- Experience supporting and troubleshooting AWS Lambda functions
- Experience with Amazon API Gateway, Lambda integrations, and RESTful APIs

📌 Bi Platforms Operations Engineer (Toronto)
🏢 Adastra
📍 Toronto