Principal Data & Analytics Engineer

Role Overview

As the Principal Data & Analytics Engineer, you will serve as the senior technical leader for Curaleaf’s modern data and analytics ecosystem. You will define and evolve the architecture, engineering standards and shared platform capabilities that enable trusted, scalable and reusable data products across the organization.

What You Will Do

Define and evolve the end-to-end architecture across source ingestion, Snowflake, dbt, Omni, Hex, and related data services. Translate business strategy and product needs into scalable technical roadmaps, architectural patterns, and platform capabilities.

Why It Might Be a Fit

You will have the opportunity to make a meaningful impact, drive innovation, and help shape the future of cannabis. You will partner closely with the Director of Data & Analytics, Senior Data Engineer, Senior Analytics Engineer and business product owners.

Requirements

• 8+ years of experience in Data Engineering, Analytics Engineering, Data Architecture, Data Platforms, or a closely related discipline
• Demonstrated experience operating as a senior technical lead, staff engineer, principal engineer, architect, or equivalent individual contributor with influence across teams
• Strong hands-on expertise with Snowflake, including data architecture, performance, security, workload management, access patterns, and cost optimization
• Advanced proficiency in SQL and strong experience with Python for data engineering, automation, platform tooling, or analytical workflows
• Significant experience with dbt or a comparable SQL-first transformation framework, including project architecture, testing, documentation, deployment, and reusable modeling patterns
• Experience designing modern analytical data models, including staging layers, conformed dimensions, facts, curated marts, semantic models, and reusable data products
• Strong knowledge of ingestion, ELT, orchestration, data contracts, schema evolution, data quality, lineage, and production-support practices
• Experience with Git, automated testing, code review, CI/CD, environment management, and software-engineering practices applied to data systems
• Experience defining architecture and technical standards while remaining sufficiently hands-on to build prototypes, solve complex problems, and guide implementation
• Strong written and verbal communication skills, including the ability to explain technical tradeoffs to business and executive audiences
• Demonstrated ability to mentor engineers and drive technical alignment without relying on formal people-management authority
• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience

Benefits

• Career Growth Opportunities
• Competitive Pay and Benefits
• Generous PTO and Parental Leave
• 401(K) Retirement Plan
• Life/ Disability Insurance
• Community Involvement
• Referral Bonuses and Product Discounts