Senior Data Engineer (Snowflake)

About the role

We are looking for a Senior Data Engineer with deep expertise in Snowflake to join our hybrid‑friendly team. You will design, build and maintain scalable data pipelines that power analytical and operational workloads for our clients in retail, CPG, sports and media.

Key responsibilities

• Design, develop and maintain ETL/ELT pipelines in a cloud environment.
• Optimize and manage Snowflake and BigQuery data warehouses for performance, scalability and cost.
• Collaborate with backend and platform engineers to integrate data pipelines into cloud‑native applications.
• Implement data governance, security and privacy best practices.
• Work with analytics teams to define data models and enable self‑service BI.
• Document data assets, lineage and metadata.
• Monitor, troubleshoot and improve pipeline reliability.

Required profile

• Certified SnowPro.
• 5+ years of data engineering experience building modern cloud‑based data platforms.
• Experience collaborating with distributed teams across North America and Latin America.
• Strong problem‑solving mindset and excellent English communication.

Required skills

• Snowflake (performance tuning, security, data modeling).
• BigQuery.
• Advanced SQL.
• Python for data processing and orchestration.
• dbt or similar analytics engineering frameworks.
• Dagster or Apache Airflow.