Lead Data Engineer

📋 Description

• Lead the design, implementation, operation, and evolution of production data pipelines and core
• Build and improve integrations across APIs, files, CDC and event sources, cloud services, and
• Establish strong patterns for data modeling, orchestration, testing, data quality, observability
• Improve Snowflake, dbt, and Airflow/Cloud Composer workloads with a focus on reliability
• Lead technical design reviews, clarify system boundaries, and help teams make thoughtful
• Strengthen the broader engineering organization through mentorship, documentation, standards, and

🎯 Requirements

• 5+ years of software or data engineering experience, including significant ownership of production
• Strong Python and SQL skills, along with solid software engineering fundamentals including testing
• Experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Experience with orchestration and transformation frameworks such as Airflow/Cloud Composer and dbt
• Strong understanding of data modeling, incremental processing, data quality, observability, and
• Demonstrated architecture judgment and experience providing technical leadership and mentorship

🎁 Benefits

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of
• Flexible hours and virtual-first work culture with a home office stipend
• Premium Medical, Dental, and Vision Insurance plans
• Generous paid parental and caregiver leave
• 401(k) savings plan with matching contributions
• Financial advisor and financial wellness support