Data Tech Lead

Position Overview

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

SweedPos, a product-driven startup building an all-in-one cannabis retail platform, is seeking a Data Tech Lead. This role will be responsible for building and scaling the data platform that powers client-facing analytics and core ML functionality.

About Us

Sweed is reimagining how cannabis retailers operate by providing an enterprise-grade platform that integrates POS, eCommerce, Marketing, Analytics, and Inventory Management into a single, seamless solution. The company prioritizes simplicity, efficiency, and innovation, building for scalability and performance to simplify operations and drive business growth for cannabis retailers.

Why We’re Doing This

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

Where We Are Now

With 7 years in the market, Sweed has a continuously growing and refining product. The company focuses on earning customer trust through process improvements and new features, while navigating the complex legal landscape of the cannabis industry to ensure compliance and future-proofing.

Team Structure

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

Why This Role Matters

Data is a critical product at Sweed, powering customer-facing analytics and ML-driven features. The data platform needs to be fast, reliable, and scalable. This role is for an experienced data platform engineer and technical leader who can manage complexity, build high-availability systems, and scale with the business. This position involves owning a critical production system, bringing operational maturity, and scaling processes alongside technology.

Responsibilities

• Own the architecture and evolution of the data platform (currently: ClickHouse, DBT, Dagster, Airbyte, Debezium), with an upcoming migration to Snowflake.
• Lead the development of production-grade data infrastructure for the client-facing reporting suite, emphasizing reliability and uptime.
• Implement and manage high-availability, observable pipelines with clear SLAs and incident processes.
• Collaborate with ML, backend, and product teams to understand data needs.
• Manage data cost structure: monitor query performance, optimize storage and compute usage, and manage Snowflake cost strategies.
• Introduce and maintain operational best practices, including incident management, data SLAs, access control, testing, and monitoring.
• Hire, grow, and mentor a small team of data engineers and analysts.
• Drive vendor/tooling decisions, balance build vs. buy, and lead key migrations (e.g., Snowflake).
• Act as a strong partner to product and executive teams, demonstrating technical depth and business awareness.

Requirements

• 5+ years in data engineering/platform roles.
• 2+ years in a technical/team lead capacity.
• Experience with modern data stacks, including ClickHouse, DBT, Dagster, Airbyte, Debezium.
• Experience with Snowflake is expected due to an upcoming migration.