Title: Lead Analytics Engineer
Location: Stamford, CT | Scottsdale, AZ | Wakefield, MA | Las Vegas, NV (role may be based in any of these locations)
Job Type: Full Time | Exempt

Who You Are: 

As the Lead Analytics Engineer at Curaleaf, you’ll set the vision for how data is transformed into actionable insights that drive business strategy. You’ll lead a high-impact Data Team, owning the development of scalable analytics solutions in a fast-paced, innovative environment.

What You’ll Do: 

You’ll drive the design and maintenance of scalable data pipelines using dbt, SQL, and Python, transforming raw data into clean, trusted datasets for business use. You’ll set technical standards, guide best practices across the team, and collaborate with data engineers, BI developers, and stakeholders to deliver high-impact, optimized solutions. Your focus on data quality, performance, and modern tools like Git and CI/CD will ensure our analytics infrastructure is both reliable and forward-thinking.

What You’ll Bring:

7+ years in data analytics or data engineering with a strong grasp of modern data workflows and best practices 3+ years of hands-on experience with dbt, SQLMesh, or similar SQL-first transformation frameworks 2+ years in a technical leadership role, setting standards and guiding analytics or data engineering teams A bachelor’s or master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related technical field You bring a deep understanding of SQL, dbt, Python, and/or R, and can deliver scalable, automated, and user-friendly data solutions You’re experienced with big data tools and cloud platforms; familiarity with Snowflake is a plus You’re comfortable using version control tools like Git in a collaborative environment You thrive in cross-functional teams and can clearly communicate technical ideas to non-technical partners

Even Better If:

You bring experience in the cannabis industry or fast-paced startup environments

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