Roku is looking to evolve its Tableau Cloud environment and related BI capabilities to ensure the BI stack scales with Roku's growth and supports confident, data-driven decision-making.
Requirements
- Deep expertise with Tableau Cloud, including configuration, performance tuning, and content governance at scale
- Strong experience working with large datasets and big data technologies, ideally in a GCP environment
- Familiarity with common database and query technologies such as Trino connector, MySQL and cloud-based data warehouses/data lakes
- Proven track record in performance tuning for Tableau dashboards, workbooks, and underlying queries
- Strong knowledge of Tableau extracts, scheduling, and optimization strategies
- Hands-on experience with Tableau Bridge for hybrid connectivity scenarios
- Experience using the Tableau REST API or similar APIs for automation, monitoring, and administrative tasks
Responsibilities
- Own the Tableau Cloud platform across configuration, architecture, and connectivity to backend systems on AWS and GCP
- Design and implement high-performing dashboards and reports, using best practices for usability, scalability, and maintainability
- Optimize Tableau data extracts, live connections, and refresh strategies to support large and complex datasets
- Configure and operate Tableau Bridge for secure hybrid connectivity to on-prem and VPC-hosted data sources
- Troubleshoot and resolve data source, connectivity, and version compatibility issues across environments
- Use the Tableau REST API and related tooling to automate administrative workflows, deployments, and monitoring
- Lead Tableau environment migrations, including on-premises to Tableau Cloud and Cloud site to cloud site migrations and consolidations
Other
- Typically, 8 years or more of experience in BI, data engineering, or data visualization roles, including significant hands-on ownership of Tableau environments
- Certification as a Tableau Consultant or Architect
- Strong skills in dashboard and report design, with an understanding of UX, accessibility, and visual best practices
- Good understanding of data modelling for analytics, and familiarity with data warehouse and data lake architectures
- Clear communication skills and the ability to work closely with engineering, analytics, and business stakeholders
