Senior Tableau Engineer, Roku

• This role requires hands-on experience across Tableau, data modeling, SQL optimization, and modern cloud data platforms
• If you’re endlessly curious, comfortable working across infrastructure and user experience, can balance long-term architecture with day-to-day delivery, and enjoy making complex data feel simple, this role is for you
• 7+ years of experience in BI, analytics, or data engineering, with deep specialization in Tableau in large-scale environments
• Expert-level knowledge of Tableau performance tuning, including extracts vs. live connections, context filters, calculations, and workbook design
• Advanced SQL skills with a proven ability to optimize queries on very large datasets
• Strong understanding of data modeling for analytics, including star/snowflake schemas and pre-aggregation strategies
• Experience operating Tableau in high-concurrency, enterprise production environments
• Strong ability to work cross-functionally and influence architecture and platform decisions

Desirable

• We are seeking an experienced Tableau Engineer to lead and support Tableau at scale in a high-volume, big-data analytics environment
• This role is deeply technical and focused on performance, scalability, and architecture. You will work closely with Analytics, Data Architecture, and Data Engineering teams to ensure Tableau dashboards remain fast, reliable, and scalable as data volume, user concurrency, and business complexity grow
• In this role, you will own and evolve our Tableau Cloud environment and related BI capabilities. You’ll design and optimise how Tableau connects to our data platforms on AWS and GCP, lead migrations, and drive best practices for performance, governance, and usability. You will partner closely with data engineering, analytics, and product teams to ensure our BI stack scales with Roku’s growth and supports confident, data-driven decision-making
• Diagnosing and resolving performance issues in large-scale Tableau environments, including slow or non-loading dashboards under high concurrency
• Designing and implementing high-performance Tableau data models, extracts, and aggregation strategies optimized for billions of rows and complex schemas
• Leading optimization efforts across Tableau Desktop, Tableau Server / Tableau Cloud, and underlying data platforms
• Defining and enforce enterprise Tableau standards for performance, scalability, and maintainability
• Providing advanced training and hands-on guidance to analysts and developers on building performant dashboards at scale
• Partner with Data Architects to design analytics-ready data layouts (e.g., star schemas, aggregated tables, semantic layers)
• Translate data architecture into efficient Tableau logical and physical models
• Collaborate with Data Engineering teams to align Tableau usage with upstream pipelines, partitioning strategies, and compute optimization
• Advise on Tableau capacity planning, concurrency management, and platform governance