Staff Data Engineer
Core
Design and scale data platforms and analytics infrastructure to power reporting and operational insights for the organization.
Role type
Staff Data Engineer
Builds
Scalable data pipelines, integrations, and serverless data services
Domain
B2B SaaS / Cannabis industry
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data pipeline architecture, data modeling, technical leadership
Preferred skills
Airflow, dbt, AWS serverless, data governance
Technologies
Airflow, dbt, Python, Fivetran, Redshift, Sigma, AWS Lambda
Responsibilities
Design and lead development of scalable data pipelines; Guide architecture and evolution of the company data platform; Build integrations across modern data stack tools; Develop serverless data services using AWS services; Partner with stakeholders to define reliable data models and analytics datasets; Improve pipeline reliability through testing, monitoring, and observability; Mentor engineers and analysts on data modeling and platform best practices; Drive improvements in data governance and documentation
Seniority
Staff, hands-on IC with strategic influence