• Design and implement scalable data pipelines to collect, process, and store large volumes of critical data from various sources • Provide data reliability and uptime by monitoring and troubleshooting data pipeline performance and scalability to ensure efficient operations • Be a “lazy” engineer - continuously seeking to improve the team’s efficiency by automating repeatable processes • Facilitate engineering discussions with collaborators, customers, partners, and team members from various departments to understand business needs and convert them into technical requirements • Authoritatively translate business use cases into well-thought-out data models that are easy to evolve with the business • Communicate technical concepts effectively to non-technical audiences • Be a bar-raiser for engineering best practices - carefully reviewing specifications, designs, pull requests and providing constructive/helpful feedback to raise the quality of our team’s output • Consistently write high-quality code, refactor, and optimize for better scalability, performance, and readability • Provide leadership within the team and mentor junior engineers