Principal Data Engineer, Platform at LeafLink

LeafLink is the leading unified B2B platform for the cannabis industry. We provide a comprehensive suite of tools that help licensed businesses manage their operations, connect with their favorite brands, and drive growth. With a presence in over 30 markets across North America, we process more than $5 billion in wholesale orders every year. Our team is backed by top-tier investors and has been recognized as one of the fastest-growing private companies by Inc. 5000, as well as a top innovator by Fast Company. We are currently looking for a talented individual to help us define the future of the cannabis supply chain through technology.

What is this role?

We are looking for a Principal Data Engineer to join our team in a full-time, remote capacity. This is an executive-level position perfect for someone who enjoys tackling large-scale technical challenges. You will play a pivotal role in our current platform overhaul, helping us lead and shape our data and machine learning architecture as we continue to scale.

What will you do?

• Audit, design, and maintain high-performing data pipelines that support our machine learning, reporting, and analytics needs.
• Collaborate with our Cloud and DevOps teams to build the infrastructure required for efficient data ingestion from diverse sources using Python, SQL, and AWS.
• Partner with the CTO and other stakeholders to define and execute a technical roadmap that evolves our data capabilities and addresses complex business requirements.

What makes you a great fit?

To be successful in this role, you should bring at least 10 years of professional experience in data or engineering environments. We are looking for someone who is a strong individual contributor and a leader who can mentor others while championing best practices. You should be fluent in English and possess the following qualifications:

• Advanced SQL skills and extensive experience working with both relational and non-relational databases.
• Expertise in Python for processing and ingesting structured and unstructured data from various formats like REST APIs and logs.
• A proven ability to perform root cause analysis on complex processes to identify improvements and solve data quality issues at scale.
• A passion for building data models, enterprise data catalogs, and dictionaries that bring consistency to how we use information.

What's in it for you?

We offer a competitive salary range of $235,000 to $270,000 USD. In addition to your compensation, you will have access to a variety of benefits designed to support your well-being and long-term success:

• A robust stock option plan that gives you a direct stake in our company's growth.
• A 401k plan with company matching.
• Commuter benefits to assist with your travel needs.
• The flexibility of a remote work environment.