Principal Data Engineer, Platform

About LeafLink

The Role

What You'll Be Doing

• Audit, design, and maintain a high-performing, modular, and optimal data pipeline architecture for structured and unstructured use cases around machine learning, reporting, and analytics
• Design and co-build with Cloud and DevOps the infrastructure and operations required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, python, and AWS cloud technologies
• Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense
• Analyze and evaluate existing solutions and make decisions on whether to extend or refactor as needed with a major focus on improving our pipeline and reporting performance
• Work with the CTO and department stakeholders to properly plan short and long-term goals, and define and execute a technical roadmap that continues to evolve LeafLink's data capabilities and functionality to meet the needs of our Business and Product Vision.
• Work collaboratively with multiple cross-functional agile teams to help deliver end-to-end products and features enabled by our data pipeline, seeing them through from conception to delivery
• Help define, document, evolve, and evangelize high engineering standards, best practices, tenants, and data management & governance across data and analytics engineering
• Move quickly and intelligently - seeing technical debt as your nemesis and eliminating risk
• Effectively communicate the complexity of your work to technical and non-technical audiences through non-written and written mediums
• Design, develop, and test data models in our data warehouse that enable data and analytics processes
• Help define and build our enterprise data catalog and dictionary
• Troubleshoot, diagnose and address data quality issues quickly and effectively while implementing solutions to combat this at scale, including improved quality controls and observability and monitoring
• Provide mentorship and growth to our BE and Data engineers while creating repeatable and scalable solutions and patterns

What You'll Bring to the Team

• Minimum of 10 years experience in a professional working environment on a data or engineering team
• Individual contributor leadership to our data and analytics engineers and specialization on our current Platform Engineering team around data enterprise architecture and best practices
• Advanced working SQL knowledge and experience working with relational and non-relational databases, query authoring (SQL) as well as working familiarity with a variety of data stores
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Expertise writing Python processing jobs to ingest a variety of structured and unstructured data received from various sources & formats such as Rest APIs, Flat Files, and Logs with the ability to support and scale to both smaller and larger dataset ingestions
• They should also have experience using the following software/tools:
• Comfortable working in a fast-paced growth business with many collaborators and quickly evolving business needs
• Consistency and standards to how we visualize and use our enterprise data at LeafLink through helping us define our first Data Dictionary and Catalog

LeafLink Perks & Benefits

• Flexible PTO - you're going to be working hard so enjoy time off with no cap!
• A robust stock option plan to give our employees a direct stake in LeafLink's success
• 5 Days of Volunteer Time Off (VTO) - giving back is important to us and we want our employees to prioritize cultivating a better community
• Competitive compensation and 401k match
• Comprehensive healthcoverage (medical, dental, vision)
• Commuter Benefits through our Flexible Spending Account

LeafLink is the unified B2B cannabis platform, empowering thousands of licensed cannabis brands and retailers across North America with the tools and technology they need to streamline ordering, payments, and logistics.