Senior Snowflake Data Engineer
Summary
Senior Data Engineer building Snowflake data solutions: designing dbt transformation layers, ELT pipelines, and customer data integrations (e.g., Braze), plus auditing source systems and planning migrations across CRM, marketing, and product data. Core stack: SQL, Snowflake, dbt, Python, AWS/GCP.
Build Snowflake data solutions as a Senior Data Engineer using expert SQL, dbt, and cloud data warehousing expertise. Work across internal disciplines, vendors, clients, and stakeholders.
This senior role translates business requirements into technical specifications for data streams, integrations, transformations, databases, and warehouses. You will design dbt transformation layers on Snowflake, activate customer data through Braze, and support migration planning across CRM, marketing, and product sources.
Key Responsibilities:
- Define project data requirements and technology stacks
- Design dbt transformation layers on Snowflake
- Build pipelines for customer engagement platforms
- Audit source systems and define migration guidelines
- Document lineage, metadata, data flows, and ELT processes
Requirements:
- Bachelor's degree in Computer Science or related field
- At least 5 years in data engineering or related fields
- Expert SQL and hands-on Snowflake experience
- Strong dbt, ELT/ETL, and cloud warehousing experience
- Working knowledge of Python and AWS or GCP
Apply senior data engineering expertise across Snowflake, dbt, migration planning, customer data, and secure cloud warehouse solutions.