Senior BI Platform Operations Engineer

Project Description: 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.

Skills (Must Have):

• Required Skills & Experience
• 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.

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.