Principal Data & Analytics Architect

Curaleaf; Wakefield (MA); On-site; USD 145,000 - 160,000; Full time

Benefits offered by this job

Career growth

Benefits

PTO & parental leave

401(k)

Life/ Disability insurance

Community involvement

Referral bonuses

Product discounts

Job summary

Curaleaf is seeking a Principal Data & Analytics Engineer to lead our modern data and analytics ecosystem from ingestion to semantic delivery. This hands-on role combines architecture, engineering standards, and platform capability development across data teams to enable trusted and scalable data products.

You will partner with Data & Analytics leadership and business product owners to deliver reusable data assets, establish governance, and drive engineering excellence with a strong emphasis on

Qualifications

• 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 CS, Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience

Responsibilities

• Define end-to-end data architecture across ingestion to data products.
• Translate business needs into scalable architectural roadmaps and platform capabilities.
• Architect secure, cost-efficient Snowflake environments supporting data products and analytics.
• Lead environment management, data access, workload isolation, and platform resilience.
• Collaborate with data owners, data stewards, and analytics teams to design reusable data products.
• Lead root-cause analysis for significant incidents and implement durable improvements.

Skills

Snowflake

SQL

Python

Data modeling

ETL/ELT

Technical leadership

Git & CI/CD

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

dbt

Looker

Omni

Hex

Git

CI/CD tooling

Job description

Curaleaf is seeking a Principal Data & Analytics Engineer to lead our modern data and analytics ecosystem from ingestion to semantic delivery. This hands-on role combines architecture, engineering standards, and platform capability development across data teams to enable trusted and scalable data products.

You will partner with Data & Analytics leadership and business product owners to deliver reusable data assets, establish governance, and drive engineering excellence with a strong emphasis on