What you’ll do

📍As a Senior Staff Data Engineer, you will be responsible for end-to-end data pipelines implementation, starting from product/system requirements discussions, architectural alignments, development, deployment, and maintenance. Most of these projects contain a highly ambiguous scope, high complexity and critical business impact. You will directly collaborate to shape the data architecture of the company, ensuring its scalability, simplicity, and sustainable growth. As a technical leader, your work will impact the trajectory of the company both through working on the most impactful problems and being able to bring about change through influence.

Would be great if you brought this to the role

📍You have at least 5-7 years of experience leading complex projects. You have 3-5 years of experience in cloud environments. You come from an engineering background and have shaped the engineering culture of past teams. You have hands-on experience with systems in our data stack including Redshift, Airflow, EMR / PySpark, streaming systems like Kinesis or similar, and Data Lake implementations. An understanding of various analytics methodologies and how data products feed into end user analytics.