Lead Data Engineer

Experience in a data engineering role with a proven track record building scalable data pipelines. Product engineering mindset with a focus on business context and stakeholder collaboration. Professional proficiency in Python for data processing and pipeline development. Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks. Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub. Fluency in English, with excellent communication and stakeholder management skills. Hands-on experience with dbt, Terraform, or Atlan is welcomed. Experience working with GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan, Soda.

Take ownership of key data domains, managing their lifecycle, quality, and business applications. Design, implement, and maintain scalable streaming and batch data pipelines. Collaborate with data consumers to understand needs and deliver robust data solutions. Deliver improvements in data quality, latency, and reliability. Focus on delivering value and solving business problems through data with a product-first mindset.