Senior Data Engineer - Privacy
RokuBengaluru, IndiaPosted 24 February 2026
Job Description
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.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer Privacy, you will contribute to Roku’s Big Data Platform’s architecture design, data modelling and ETL to ensure compliance with privacy requirements. This position is a key role for Roku's business to understand our users while complying with data privacy regulations.
About the role
As a Sr. Data Engineer focused on Data Privacy, your primary responsibility will be to design, implement, and maintain robust data privacy measures within the organization. You will collaborate with cross-functional teams to ensure compliance with privacy regulations, conduct risk assessments, and develop strategies to safeguard sensitive information. Additionally, you will play a key role in enhancing data governance frameworks and educating stakeholders on best practices to uphold the highest standards of data privacy and security.
This role requires hybrid working, you will be based in Bangalore.
What you’ll be doing
Maintain and support Roku’s existing data privacy solutions and work with Roku’s Engineering teams to implement required data privacy compliance
Audit Roku’s Data Warehouse and Big Data Platform for compliance with GDPR, CCPA and other data privacy regulations.
Own requirements, development and quality assurance of Privacy compliance tools that are part of Roku’s distributed data processing systems (batch and streaming systems) which includes data virtualization, data retention, and data anonymization,
Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over privacy aspects of Roku’s Big Data Platform
Work with Roku’s Trust team to ensure that our Platform is conforming to Roku's Privacy policies
We’re excited if you have
More than 5 years’ experience implementing data privacy solutions that comply with GDPR, CCPA and other data privacy regulations
Experience anonymizing and virtualizing sensitive data
Proficiency in at least one scripting language, Python is required
Proficiency in at least one object-oriented language, Java is preferred
Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
Experience with Cloud platforms such as AWS, GCP, Azure
Experience with Data Visualization Applications. Looker is a plus
Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
5+ years professional experience as a data or software engineer
BS in Computer Science; MS in Computer Science preferred
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day ... (truncated, view full listing at source)
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