Staff Data Engineer

Candidates should have 10+ years of experience in data engineering or related fields, with proven experience owning platform-level architecture and strategy. Deep expertise in Snowflake, dbt Cloud, Change Data Capture frameworks, orchestration tools (Airflow, dbt Cloud), and reverse ETL is required. A strong background in external data sharing and partner integrations, including Snowflake data shares, S3/SFTP pipelines, and Marketplace listings, is necessary. Proven ability to design and implement data governance and observability systems, including data contracts, lineage tracking, anomaly detection, and automated monitoring, is essential. Strong engineering skills in SQL and Python, emphasizing testing, CI/CD, and maintainability in complex data systems, are needed. Candidates should have a reputation as a mentor and technical authority who elevates the technical quality and rigor of peers and teams, along with exceptional communication skills and the ability to influence technical and business leadership across multiple departments.