Sr Staff Data Platform Engineer

Mozilla’s Data Engineering team is looking for a Senior Staff Data Platform Engineer to help build the present and future of our Data Platform infrastructure. Mozilla’s data platform serves the needs of multiple products, including the Firefox browser, from data collection through to insights, product experiences, and machine learning applications.

Our goal is to build a robust, efficient, and effective platform that makes it increasingly easy to inform Mozilla’s business and product experiences. For more details, please take a look at the overview or the Data@Mozilla blog.

Your work will include:

• Designing, building, and improving systems to reliably and efficiently process data at the scale of tens of terabytes per day, and applying those systems to solve meaningful problems for the business.
• Evaluation of new technologies.
• Crafting and improving workflows in GCP using standard, modern components such as Dataflow, BigQuery, PubSub, GKE, Airflow.
• Driving cross-functional projects with stakeholders across Mozilla, including Data Science, Product, Legal, Policy, and Engineering.
• Mentoring teammates, developing and improving engineering best practices across the Data Organization.
• ETL / ELT – Working with Data Science to design and implement useful data abstractions.
• Addressing evolving needs of active Data Products.

Your experience includes:

• Data tooling in GCP, including PubSub, BigQuery, and Dataflow (Apache Beam). Bonus points if you’ve also worked with any of the following: Looker, Fivetran, Kubernetes / GKE, Airflow / Cloud Composer. We want to talk to you if you’ve got experience with similar tools on other platforms as well.
• Advanced coding skill in SQL and Python. Some of our codebase is in Java, so experience or willingness to learn Java is a plus.
• Strong software engineering fundamentals: modularity, abstraction, data structures, and algorithms.
• Tech lead, team lead, or similar leadership role.