Data Architect

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not specified

SweedPos, a product-driven startup, is seeking a Data Architect to join their remote team. The role involves building and scaling the data platform that powers client-facing analytics and core machine learning functionality for their all-in-one cannabis retail platform.

About SweedPos

SweedPos is revolutionizing the cannabis retail industry with an enterprise-grade platform that integrates POS, eCommerce, Marketing, Analytics, and Inventory Management into a single solution. They prioritize simplicity, efficiency, and innovation, building for scalability and performance to simplify operations and drive business growth for cannabis retailers.

Mission

SweedPos believes in the medicinal potential of cannabis and aims to drive the industry's transformation by making cannabis retail more efficient, accessible, and customer-friendly.

Company Status

With 7 years in the market, SweedPos has a growing product and a strong focus on earning customer trust through continuous improvement and new feature rollouts, while navigating the complex legal landscape of the cannabis industry.

Team Structure

The company has approximately 180 employees. The development team is globally distributed and organized into cross-functional product teams (8-12 members each), including front-end and back-end developers, QA specialists, and analysts, led by a Team Lead and Product Owner. The CEO, account managers, and customer success team are based in the USA.

Role Importance

This role is crucial for supporting cannabis retailers who depend on fast, accurate, and flexible reporting. The Data Architect will lead the design and implementation of the data layer for these reports, manage a team of Analytics Engineers, define processes, and establish data governance standards to ensure quality and trust at scale. This position blends strategy and execution, defining the data structure and working with a team to implement it.

Responsibilities

• Design and own the architecture of the analytical data layer, focusing on scalability, transparency, and business alignment.
• Manage and mentor Analytics Engineers responsible for implementing data marts and reporting layers (e.g., using dbt).
• Serve as a key interface to client-facing teams, translating customer reporting needs into clear, scalable data models.
• Communicate with clients or their representatives as needed to clarify requirements, resolve inconsistencies, and explain data model behavior.
• Establish and maintain governance frameworks, including documentation standards, metric definitions, data ownership, and quality controls.
• Formalize modeling best practices for dbt and structure the semantic layer for product teams and embedded reporting.
• Drive standardization of KPIs and business dimensions, and resolve conflicts across teams and domains.
• Build the foundation for self-serve analytics, empowering analysts and product managers to explore data safely and consistently.

Required Skills and Experience

• 5+ years in data architecture, analytics engineering, or senior data roles.
• Experience managing or mentoring data or analytics engineers, with a focus on delivery and technical growth.
• Strong hands-on experience with dbt, SQL, and modern data warehouse technologies (e.g., Snowflake, ClickHouse, BigQuery).