Lead Data Engineer

Job Description:

• Data platform architecture and implementation roadmap;
• Ingestion strategy (managed ELT + pragmatic alternatives for high-volume streams);
• Transformation modeling standards and metric definitions;
• Data quality, reliability, and monitoring;
• Technical alignment with product, growth, analytics, and leadership.

Requirements:

• Strong experience as a senior/lead data engineer;
• Advanced SQL + Python;
• Production experience with modern warehouse stack (BigQuery, Snowflake, Redshift, or similar);
• Hands-on experience with transformation frameworks (dbt, Dataform, SQLMesh, or similar);
• Practical orchestration and monitoring mindset;
• Ability to prioritize by business impact and communicate clearly with non-technical stakeholders.