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About the Role

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, aiming to power every television globally. This role offers the opportunity to delight millions of TV streamers while gaining meaningful experience across various disciplines.

Responsibilities

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.
Lead design and implementation of custom integrations within data discovery frameworks like Datahub.
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.
Design and implement robust batch and real-time data pipelines using Apache Spark.
Build and maintain enterprise data warehouses and data solutions in AWS/GCP cloud environments.
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.
Collaborate with product managers, data analysts, data scientists, ML engineers, backend engineers, and business stakeholders.
Influence enterprise-wide technical direction and lead cross-functional efforts to unify fragmented governance practices.

Requirements

Master’s degree or foreign equivalent in Data Science, Computer Science, or related field, with 6 years of experience, OR Bachelor’s degree or foreign equivalent in Data Science, Computer Science, or related field and 8 years of progressive experience.
At least 1 year of prior work experience as a 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.
At least 1 year of prior work experience in design and implementation of enterprise-grade data quality, discovery, and governance frameworks and tools from scratch.
At least 1 year of prior work experience in developing AI/ML solutions for data quality, anomaly detection, and data discovery problems.
At least 1 year of prior work experience leading cross-functional projects, partnering with engineering, product, analytics, and data science teams.
At least 1 year of prior work experience collaborating with software engineering teams to improve event logging, enforce quality at the source, and manage complex logging frameworks.
At least 1 year of prior work experience managing and mentoring global engineering teams and consultants, including roadmap and sprint planning.
At least 1 year of prior work experience with data discovery platforms like Datahub, including developing custom integrations and data quality frameworks like Deequ or Great Expectations.
At least 5 years of prior work experience in Data Modeling, SQL, Airflow, Python, and Java/Scala (including Spark UDFs).
At least 5 years of prior work experience with Big Data technologies Spark, HDFS, YARN, Hive, Kafka, Flink, Elastic Search, Grafana and Presto.
At least 5 years of prior work experience developing and optimizing distributed data pipelines using Apache Spark.
At least 5 years of prior work experience in system design and implementation of multi-tier, highly scalable, distributed data pipelines and data warehouses in AWS or GCP cloud environment.
At least 5 years of prior work experience with cloud-agnostic tooling, CI/CD pipelines, serverless compute, and containerized deployments using Kubernetes.

Skills

Data Quality
Data Discovery
Data Governance
Technical Architecture
Data Engineering
AI/ML
Apache Spark
AWS/GCP
Big Data Technologies
Cloud-agnostic Tooling
CI/CD
Serverless Compute
Kubernetes
Datahub
Deequ
Great Expectations
Data Modeling
SQL
Airflow
Python
Java/Scala
Spark UDFs
HDFS
YARN
Hive
Kafka
Flink
Elastic Search
Grafana
Presto

Location

Remote (partial telecommuting permitted)

Work Type

Hybrid

Experience Level

6+ years
8+ years

Education Level

Master’s degree
Bachelor’s degree

Benefits

Global access to mental health and financial wellness support and resources.
Healthcare (medical, dental, and vision)
Life, accident, and disability insurance
Commuter benefits
Retirement options (401(k)/pension)
Time off in accordance with local leave policies

About the Company

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, aiming to power 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.
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own.
We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams.
We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust.
At Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of.
We think of ourselves primarily as problem-solvers.
Our pragmatic approach to innovation has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.

Equal Opportunity

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law.
If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.