Senior BI Platform Operations Engineer

We are seeking a Senior BI Platform Operations Engineer for a 6-month contract role based in New York City, NY. This is a hands‑on production operations position focused on providing operational support, administration, maintenance, and technical troubleshooting for enterprise Business Intelligence platforms and associated AWS services. The role is onsite and requires local availability.

Responsibilities

• Provide day‑to‑day production support for Tableau Server, Amazon Quick Sight / Quick Suite, and supporting AWS services
• Monitor platform availability, performance, capacity, scheduled workloads, and overall service health
• Troubleshoot production incidents, failed jobs, connectivity problems, API failures, access issues, and platform errors
• Perform root‑cause analysis and support incident, problem, release, and change‑management processes
• Maintain operational runbooks, troubleshooting procedures, and support documentation
• Identify opportunities to automate repetitive tasks and improve platform reliability
• Administer and maintain enterprise Tableau Server environments, including configuration, upgrades, patching, infrastructure maintenance, and migrations
• Manage users, groups, sites, projects, permissions, and content access in Tableau Server
• Troubleshoot Tableau extracts, refresh schedules, data‑source connectivity, authentication, and performance issues
• Monitor Tableau server processes, logs, resource utilization, and platform health
• Provide production support and administration for Amazon Quick Sight / Quick Suite
• Manage and troubleshoot analyses, dashboards, datasets, data sources, themes, folders, templates, and related assets
• Troubleshoot SPICE ingestion, dataset refresh failures, direct queries, publishing, sharing, and access issues
• Support Quick Sight APIs and AWS SDKs for programmatic asset management
• Troubleshoot embedded Quick Sight, authentication, authorization, and permissions
• Support Amazon Q, conversational BI, topics, and generative analytics capabilities
• Support an internally developed BI‑as‑a‑Service platform built on Amazon Quick Sight
• Troubleshoot issues across APIs, backend services, AWS infrastructure, data services, and application integrations
• Analyze application and AWS service logs to diagnose production issues
• Collaborate with platform engineering and development teams to resolve defects
• Assist with deployments, configuration changes, environment maintenance, and production releases
• Support and troubleshoot Amazon Athena queries and BI integrations
• Work with the AWS Glue Data Catalog, including databases, tables, schemas, partitions, and metadata
• Understand AWS Lake Formation permissions and data‑access controls
• Troubleshoot access and connectivity across Athena, Glue, Lake Formation, IAM, and Quick Sight
• Support AWS Lambda functions and troubleshoot configuration issues, execution failures, triggers, and timeouts
• Support Amazon API Gateway, REST APIs, authentication, authorization, routing, and integration failures
• Use Amazon Cloud Watch logs, metrics, dashboards, and alarms for production troubleshooting
• Correlate logs across services to identify the source of end‑to‑end failures
• Support monitoring, alerting, and platform‑health improvements

Qualifications

• Required
  • Strong hands‑on experience supporting enterprise BI platforms in production
  • Strong experience with Tableau Server administration and operational support
  • Hands‑on experience with Amazon Quick Sight administration, authoring, and production support
  • Experience troubleshooting dashboards, analyses, datasets, data sources, permissions, SPICE ingestion, and refresh schedules
  • Experience with Quick Sight APIs and AWS SDKs
  • Working knowledge of Amazon Athena, AWS Glue Data Catalog, and AWS Lake