Senior Software Engineer – Data Products

Roblox Operating System (ROS) is our internal productivity platform that governs how Roblox operates as a company. Through an integrated suite of tools, ROS shapes how we make talent and personnel decisions, plan and organize work, discover knowledge, and scale efficiently.

The ROS application brings together data from diverse sources – HR systems (Workday, Greenhouse), collaboration tools (Slack, Zoom, Calendar), developer platforms (GitHub), business applications (Pigment, Zendesk), and internal Roblox applications. Our goal is to unify these signals and provide employees and leaders with actionable insights that drive smarter, data-informed decisions.

The ROS Engineering team is foundational to this vision. We build and maintain the data products and backend services that power the ROS ecosystem, ensuring insights are collected, transformed, and surfaced in meaningful ways. Our scope includes:

• Synchronizing and integrating data across vital internal systems (Workday, Greenhouse, GSuite, JIRA, and ROS app databases).
• Building backend services and APIs that expose insights to applications and dashboards.
• Designing intuitive frontend features that make data accessible and engaging.
• Partnering with product managers and UX designers to deliver a unified employee experience.

This is a new team in our Roblox India location, working closely with data scientists, analysts, product managers, and engineers in both India and the US. As a Senior Engineer on this team, you will help shape the foundations of how we collect, productize, and operationalize data within ROS, while collaborating with global partners to deliver impact across the company.

As a Senior Software Engineer – Data Products, you will focus on data integration, pipelines, and backend services that power ROS applications. You will help migrate and evolve data from relational databases to modern storage architectures and ensure that data is available, reliable, and usable for product teams. You will collaborate closely with UX/Product to build features that make insights actionable.

Work Model: This role is based in Gurugram and follows a hybrid structure — 3 days from the office (Tuesday, Wednesday & Thursday) and 2 days work from home.

This role involves collaboration with our US-based team as, So It would be requiring some overlapping working hours 

• Establish and maintain data lineage and governance to ensure transparency, traceability, and compliance across all data sources.
• Design and implement ETL/data pipelines to synchronize data from enterprise systems (Workday, Greenhouse, GSuite, JIRA, internal databases, and GitHub).
• Collaborate with product managers, UX designers, and data scientists to deliver end-to-end features and data products.
• Ensure data quality, consistency, and reliability across multiple sources.
• Contribute to architecture and design discussions, including data modeling, storage strategies, and microservices patterns.
• Mentor junior engineers and help improve engineering practices across the team.
• Propose and implement improvements to data processing, storage, and product workflows.

• 5+ years of software engineering experience with a strong foundation in backend and data engineering.
• Experience designing and building ETL/data pipelines using modern orchestration tools (e.g., Airflow, Dagster, Prefect, or equivalent).
• Solid knowledge of relational databases (schema design, query optimization, data modeling) and familiarity with modern data storage models (e.g., Lakehouse, Delta, Iceberg)
• Experience with event-driven systems (Kafka, Pulsar, etc.).
• Hands-on experience with distributed data processing frameworks (e.g., Spark) or modern analytics tools.
• Hands-on experience building and deploying microservices (REST/gRPC) in a distributed environment.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and best practices for deployment, scaling, and reliability.
• Strong analytical skills with attention to detail, reliability, and operational excellence.
• Excellent cross-functional collaboration skills, working effectively with UX/Product, Data Science, and Platform teams.
• Exposure to building and deploying microservices (REST/gRPC) in a distributed environment.

• Data-first mindset: Comfortable working with multiple data sources, transforming and exposing data as usable products.
• Backend expertise: Able to design and implement robust microservices and APIs in a scalable distributed system.
• Product orientation: Works closely with UX/Product to ensure features are intuitive, reliable, and impactful.
• Collaboration: Thrives in a cross-functional environment, effectively communicating with global teams.
• Innovation: Curious and proactive in proposing new approaches to data integration, storage, and product design.