Jobs / United States / Roku INC
Senior Data Engineer, Data Governance Lead
Roku INC · 🇺🇸 Austin, Texas
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 52 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 27 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Roku INC paid sponsored hires in similar roles1 certified filing for “Senior Patent Engineer” (Computer and Information Research Scientists) in TX: $191k–$191k, median $191k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Roku INC
The US Department of Labor certified 52 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 27 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Roku INC →
About the role
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What you'll be doing • Lead technical architecture, design, and development of enterprise data quality, discovery, and governance frameworks. • Establish and enforce enterprise-wide data governance standards, policies, tooling, and processes to ensure accurate, compliant, and discoverable data assets across Roku. • Lead design and implementation of custom integrations within data discovery frameworks like Datahub for metadata-driven lineage and search. • Develop AI/ML-based solutions for data quality, anomaly detection, and automated data discovery. • Extend and customize open-source data quality frameworks and tools like Deequ and Great Expectations to ensure quality across critical datasets. • Design and implement robust batch and real-time data pipelines using Apache Spark to support large-scale daily data volumes exceeding 10TB and real-time pipelines processing millions of events per minute. • Build and maintain enterprise data warehouses and data solutions in AWS/GCP cloud environments using big data technologies, ensuring operational stability and optimal performance at petabyte scale. • Design and develop cloud-agnostic tooling, CI/CD pipelines, serverless compute, and containerized deployments with Kubernetes. • Provide technical leadership by mentoring and directing engineers and consultants, driving roadmap and sprint planning, and defining long-term strategies for data quality and governance initiatives. • Collaborate with product managers, data analysts, data scientists, ML engineers, backend engineers, and business stakeholders to translate requirements into scalable data models and data solutions, improve event logging frameworks, enforce data governance standards, and strengthen data foundations for enterprise-wide adoption. • Influence enterprise-wide technical direction, lead cross-functional efforts to unify fragmented governance practices, drive build-versus-buy decisions, define data asset prioritization frameworks for governance investment, and establish long-term strategies for data engineering, quality, and governance. You are required to have • Master’s degree or foreign equivalent in Data Science, Computer Science, or related field. • 6 years of experience in the position or a related occupation. • Will also accept a Bachelor’s degree or foreign equivalent in Data Science, Computer Science, or related field and 8 years of progressive experience in the position or a related occupation. Must have at least 1 year of prior work experience in the following: • Technical lead, driving architecture decisions, setting best practices, and guiding teams on data engineering and data governance initiatives in large-scale, consumer-facing digital companies. • Design and implementation of enterprise-grade data quality, discovery, and governance frameworks and tools from scratch. • Developing Artificial Intelligence (AI) and Machine Learning (ML) solutions to solve data quality, anomaly detection, and data