Staff Data Engineer
Core
Designing, building, and optimizing scalable data pipelines and cloud-based data warehouse solutions to support enterprise analytics, reporting, and business intelligence.
Role type
Staff Data Engineer
Builds
Scalable data pipelines, cloud data warehouse solutions, and transformation frameworks
Domain
Enterprise Data Engineering / Cloud Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Snowflake Data Cloud, dbt (Data Build Tool), Data Modelling (Dimensional, Star Schema, Data Vault), ETL/ELT pipeline development, Advanced SQL, Cloud platforms (AWS/Azure/GCP), Git-based version control, CI/CD processes
Preferred skills
Data migration and modernization experience, Security and compliance implementation
Technologies
Snowflake, dbt, AWS, Azure, GCP, Git
Responsibilities
Design and maintain scalable data solutions on Snowflake; Build and manage data transformation frameworks using dbt; Develop and optimize ELT/ETL pipelines; Create and maintain logical and physical data models; Implement data quality, testing, and governance best practices; Optimize Snowflake performance and cost management; Collaborate with stakeholders to deliver data solutions; Support data migration and integration initiatives.
Seniority
Staff, hands-on IC with strategic oversight
