Senior Data Engineer, Roku
Data Governance Lead
More information about location
4-5 days a week in office
Convenient & affordable TV streaming players
Be an early applicant
Convenient & affordable TV streaming players
1001+ employees
Be an early applicant
More information about location
4-5 days a week in office
1001+ employees
Company mission
To provide its users with a more convenient and cost effective way of watching the programs they love.
Role
Who you are
- 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 discovery problems
- Leading cross-functional projects, partnering with engineering, product, analytics, and data science teams to deliver enterprise-wide data quality and governance solutions, ensuring successful rollout and adoption across the organization
- Collaborating with software engineering teams to improve event logging, enforce quality at the source, and manage complex logging frameworks
- Managing and mentoring global engineering teams and consultants day-to-day, including roadmap and sprint planning, and driving product roadmap priorities for data governance initiatives
- Data discovery platform like Datahub, including developing custom integrations and data quality frameworks like Deequ or Great Expectations
- Must have at least 5 years of prior work experience in the following:
- Data Modeling, SQL, Airflow, Python, and Java/Scala (including Spark UDFs) and Big Data technologies Spark, HDFS, YARN, Hive, Kafka, Flink, Elastic Search, Grafana and Presto
- Developing and optimizing distributed data pipelines using Apache Spark (including Spark on Kubernetes), supporting 10TB+ daily data volume and real-time pipelines processing millions of events per minute
- System design and implementation of multi-tier, highly scalable, distributed data pipelines and data warehouses in AWS or GCP cloud environment and cloud-agnostic tooling, CI/CD pipelines, serverless compute, and containerized deployments using Kubernetes
What the job involves
- 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
Our take
According to Nielsen data, the average streamer spends over seven minutes searching for something to watch. Streaming services use customers' viewing history to make suggestions, but these are limited to programs licensed for that particular service.
Roku provides an integrated streaming service that offers TV channels, movies and third-party streaming services, resulting in an all-in-one streaming platform. The service can be accessed through a variety of customized subscription packages and fees.
Roku stands out in the streaming industry by bringing many competitors together in one package. The startup provides further innovative services such as a weekly TV series named 'Roku Recommends' which uses first-party data to recommend essential viewing to users.
Alongside funding filmmakers through its "Change Makers Program", Roku also acquired its own original library of shows through its acquisition of now-defunct Quibi's library. Then, after successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released. In 2026, it was announced that media giant FOX would acquire Roku, which the companies say will create the third largest player in US TV by share of viewing.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2016
$45.5m
LATE VC
Nov 2015
$45.5m
SERIES H
Total funding: $247.8m
Company benefits
- Medical, wellness and financial benefits
- Unlimited paid time off policy
- Work from home opportunities
- Free snacks and access to the company fitness center
Company HQ
Newhall, San Jose, CA
Leadership
Anthony Wood
(Founder & CEO)Studied Engineering at Texas A&M before founding their first company in 1986. They held VP roles at both Adobe and Netflix.
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