Data Architect

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $100k - $115k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 0%

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Terrabis

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🍽️ Food & Beverage

🏥 Healthcare

🛒 Retail

Food & Beverage • Healthcare • Retail

Terrabis is a cannabis retail company located in Hazelwood, Missouri, dedicated to enhancing the cannabis journey of its customers. They offer a wide range of cannabis products including flower, pre-rolls, vaporizers, edibles, and accessories, alongside special promotions and a rewards program for loyal customers. Terrabis aims to create an inviting and friendly environment, fostering a community for cannabis enthusiasts and newcomers alike.

📋 Description

• Help design and maintain scalable data architecture integrating POS, e-commerce, CRM, and marketing platforms. • Assist in managing the centralized Snowflake data warehouse. • Maintain ETL/ELT pipelines for automated data collection, processing, and transformation. • Ensure data quality, integrity, and availability through validation and monitoring. • Partner with department leads to align data projects with strategic goals. • Help cross-functional leaders leverage data to solve complex business problems. • Provide analytical insights for pricing, inventory, customer segmentation, and marketing optimization. • Develop and enforce data governance policies for compliance with cannabis industry regulations. • Maintain documentation for data architecture and analytics processes. • Lead new tool integrations and maximize their use.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field. • 2-3+ years of relevant experience in designing and building data architecture, leading analytics, or data science teams, driving business, customer, or marketing analytics. • Advanced proficiency in SQL, including window functions, CTEs, and query optimization. • Strong dimensional modeling skills, including designing fact and dimension tables, declaring grain, and managing surrogate keys. • Comfortable working with JSON and semi-structured data. • Hands-on experience with dbt or similar SQL-first data transformation frameworks, including testing and documentation. • Experience with cloud data warehouses such as Snowflake or BigQuery; Snowflake experience is a strong plus. • Experience with BI tools such as Power BI, Looker, or Tableau. • Proficiency in Python for data manipulation, scripting, and workflow automation. • Experience with Git and CI/CD for version control, testing, and deploying data pipelines. • Familiarity with data orchestration tools such as Airflow, Prefect, or Rundeck. • Collaborative mindset, strong problem-solving skills, and ability to communicate technical concepts to non-technical stakeholders. • Experience in a regulated industry and Ecommerce (B2C) preferred.

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