BI Platform Operations Engineer – Tableau, Amazon Quicksight & AWS

Job Description

BI PLATFORM OPERATIONS ENGINEER — TABLEAU, AMAZON QUICKSIGHT & AWS

LOCATION: Toronto, ON - Hybrid (2-3 Days WFO)

EXPERIENCE: 10+ years

REQUIRED SKILLS

• 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

• 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.

Requirements
Java