Curaleaf Holdings, Inc.
Lead Analytics Engineer Stamford, CT
Curaleaf Holdings, Inc., Wakefield, Massachusetts, us, 01880
At Curaleaf, we’re redefining the cannabis industry with a strong commitment to quality, expertise, and innovation. As a leading global cannabis provider, our brands—including Curaleaf, Select, and Grassroots—offer premium products and services in both medical and adult-use markets.
Join us at Curaleaf to be part of a high-growth, purpose-driven company that champions corporate social responsibility through our Rooted in Good initiative, supporting community outreach and positive change. Here, you’ll have the opportunity to make a meaningful impact, drive innovation, and help shape the future of cannabis.
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 The salary range for this position is $110,000 - $145,000 USD. What We Offer: Competitive Pay and Benefits Generous PTO and Parental Leave Life/ Disability Insurance Community Involvement Referral Bonuses and Product Discounts Curaleaf is an equal opportunity employer. We recruit, employ, train, compensate, and promote regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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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 The salary range for this position is $110,000 - $145,000 USD. What We Offer: Competitive Pay and Benefits Generous PTO and Parental Leave Life/ Disability Insurance Community Involvement Referral Bonuses and Product Discounts Curaleaf is an equal opportunity employer. We recruit, employ, train, compensate, and promote regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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