Lead Data Engineer

7+ years of experience in data engineering, with at least 2 years in a technical leadership role Strong proficiency in Python and SQL Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools (Airflow, Dagster, Prefect, Temporal, or similar) Hands-on experience with cloud data platforms (AWS, GCP, or Azure) Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar Strong software engineering fundamentals including testing, CI/CD, version control Track record of optimizing data systems for performance, reliability, and cost efficiency at scale Excellent communication skills

Design and build scalable data pipelines to ingest, process, and transform data Architect and maintain data infrastructure for real-time analytics Own ETL/ELT processes for onchain data transformation Build and optimize data models and schemas Establish data quality frameworks Collaborate with backend engineers on event schemas and APIs Partner with product and analytics teams Provide technical leadership, mentoring engineers and driving architectural decisions Optimize performance and costs of data infrastructure