qualifications: 5+ years of experience leading data engineering, data infrastructure, or related engineering teams, of 5+ people - a must Strong technical background in data infrastructure, cloud computing, and production systems - a must Hands-on experience with data warehousing tools such as Snowflake or BigQuery, and data pipeline orchestration tools such as Dagster or Apache Airflow - a must Experience developing in Python Experience productionizing big data, analytics, or data platform infrastructure Experience leading agile teams and working with scrum methodologies Demonstrated ability to lead multidisciplinary teams and collaborate effectively across interfaces. Track record of helping teams improve how they work, including process improvement, automation, technical quality, or delivery practices. Strategic mindset with the ability to connect technical decisions to team and business goals. Strong English communication skills, written and spoken, for working with an international and multilingual team.
