Senior Data Engineer

LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively. The Staff Data Engineer role involves leading the development of scalable data pipelines and partnering with various teams to ensure the data platform supports critical decision-making.

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