Senior BI Engineer(Amazon QuickSight)

Toronto, ON
On-site
Posted Oct 17, 2026
1 position

Opens LinkedIn

Employment type: Full-time
Experience level: Senior · 5+ years
Apply by: Apr 14, 2027
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Administer, author, and support Amazon QuickSight and Tableau Server in production, troubleshooting BI assets, data connectivity, permissions, performance, and AWS integrations. Manage production incidents, analyze logs across application and AWS service layers, and perform root-cause analysis, documentation, and automation.

Job details

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.

What you’ll do

Requirements

The role requires strong hands-on experience supporting enterprise BI platforms, especially Tableau Server and Amazon QuickSight, along with working knowledge of AWS data and serverless services. Candidates should be skilled in troubleshooting, APIs, IAM, monitoring, scripting or automation, incident management, and communicating technical findings.