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We are seeking a Senior BI Platform Engineer with extensive experience in Tableau, Power BI, and Alteryx administration to lead the stability, scalability, and automation of our enterprise analytics ecosystem. This role demands end-to-end ownership of platform operations — from capacity and license management to API-based automation, integration, governance, and cross-platform optimization. You will also serve as the primary liaison with vendor support teams, ensuring rapid resolution of escalations and smooth platform operations.
Job Responsibility:
Lead administration of Tableau Cloud and Tableau Server across multiple tenants and sites
Manage user provisioning, access governance, and license allocation at enterprise scale
Plan and execute version upgrades, patches, and migrations (on-prem to cloud)
Maintain Tableau Bridge nodes — performing health checks, connector updates, and log monitoring
Automate platform workflows using the Tableau REST API and Tableau Server Client (TSC)
Integrate Okta SSO/SAML for authentication and user lifecycle automation
Monitor adoption and performance through Admin Insights dashboards
Administer multiple Power BI capacities, workspaces, and tenants, ensuring optimal utilization and governance
Manage licenses, permissions, and Service Principals (SPs) via Microsoft Entra ID (Azure AD)
Oversee deployment pipelines for content promotion and CI/CD-style workflows
Maintain Power BI Gateways and Fabric capacities, tracking performance metrics and CPU utilization
Automate administrative tasks via Power BI REST API
Raise and manage support tickets, coordinating escalations with Microsoft
Administer and upgrade Alteryx Server (on-prem) for high availability and performance
Manage Alteryx Designer, Business Suite, and server licensing across the organization
Monitor and maintain gallery, scheduler, and controller services
Use Alteryx Server API for automation, workflow tracking, and system health monitoring
Support users with Designer workflows, troubleshooting runtime or configuration issues
Log and follow up with Alteryx Support for escalations and patch management
Maintain documentation, SOPs, and best practices in Confluence
Track support and sprint activities in Jira, ensuring SLA compliance
Communicate upgrades, outages, and feature rollouts proactively to users
Act as primary point of contact for vendor support teams, raising, tracking, and following up on tickets
Conduct root cause analysis (RCA) for dashboard or workflow failures, validating data lineage across environments
Collaborate with data engineering teams to ensure consistent governance, authentication, and performance optimization across BI platforms
Requirements:
10+ years of experience in a BI support or engineering role
Advanced experience with Tableau, Power BI, Alteryx, and MSTR, including administrative functions, troubleshooting, and user support
Proven experience providing L3 support and managing CI/CD pipelines for BI platforms
Strong knowledge of BI architecture, data visualization best practices, and data modelling concepts
Excellent problem-solving and communication skills, with the ability to interact confidently with senior business leaders
Experience with SQL, data warehouses, and cloud platforms (e.g. Azure, Snowflake) is preferred
Bachelor’s degree in computer science, Information Systems, or a related field
8–10 years of experience in BI platform engineering or administration, covering Tableau, Power BI, and Alteryx
Proven expertise in enterprise BI platform management, including automation, authentication, and multi-tenant governance
Strong ability to troubleshoot complex, cross-platform performance and data issues
Excellent communication and documentation skills to collaborate with technical and business stakeholders
Nice to have:
Hands-on experience with Snowflake and Azure Data Factory (ADF) for ETL orchestration and data integration
Familiarity with CI/CD processes for BI content deployment
Strong analytical and troubleshooting skills for RCA across dashboards and data flows
Experience managing multi-platform BI environments at scale, including cross-platform automation and governance