Key skills
PythonSQLAnalyticsRedshiftAirflowdbtFivetranAWSServerlessLambda
About this role
LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses with tools to manage their operations effectively. They are seeking a Staff Data Engineer to lead the development of their data platform and analytics infrastructure, ensuring reliable and scalable data systems that support critical decision-making across the organization.
Responsibilities:
- Design and lead development of scalable data pipelines using Airflow, dbt, and Python
- Guide architecture and evolution of the company data platform
- Build integrations across modern data stack tools including Fivetran, Redshift, and Sigma
- Develop serverless data services using AWS services such as Lambda
- Partner with stakeholders to define reliable data models and analytics datasets
- Improve pipeline reliability through testing, monitoring, and observability
- Modernize legacy data processes and improve automation across the platform
- Mentor engineers and analysts on data modeling and platform best practices
- Drive improvements in data governance and documentation
Requirements:
- 8+ years of experience building production data pipelines and analytics infrastructure
- Strong SQL skills and experience modeling large datasets
- Strong Python experience for building pipelines and automation
- Experience with Airflow, dbt, or similar orchestration and transformation tools
- Experience with modern data stack tools such as Fivetran, Redshift, or Sigma
- Experience with AWS and serverless data processing such as Lambda
- Strong understanding of data warehouse architecture and analytics engineering
- Demonstrated ability to lead technical initiatives across teams