Job description
Hi there!
We’re SweedPos , a product-driven startup building an all-in-one cannabis retail platform. We’re on the lookout for a Data Tech Lead to join our team remotely and to build and scale the data platform that powers client-facing analytics and core ML functionality.
About Us
At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution—eliminating the need for multiple third-party tools.
We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving real business growth.
Why We’re Doing This
At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.
The industry is evolving rapidly, and we’re here to drive that transformation—making cannabis retail more efficient, accessible, and customer-friendly.
Where We Are Now
We’ve been on the market for 7 years, continuously growing and refining our product.
Our focus is on earning customer trust, which means constantly improving our delivery processes and rolling out new features. At the same time, we navigate the complex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.
Team Structure
Right now, our total team size is around 180 people:
The development team is distributed globally and organized into cross-functional product teams. These teams typically consist 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, ensuring effective collaboration and clear direction.
Meanwhile, our CEO, account managers, and customer success team are based in the USA, working closely with us to align product development with business and user needs.
Why This Role Matters
At Sweed, data is a product. From powering our customer-facing analytics dashboard to enabling ML-driven features, our data platform must be fast, reliable, and scalable. We’re looking for someone to lead this effort: an experienced data platform engineer and technical leader who can turn complexity into simplicity, build high-availability systems, and scale with the business.
This is not just about data modeling or ELT - this is about owning a critical production system that customers rely on daily. You’ll also bring operational maturity to our team, helping us scale not just tech, but process.
What to do in the project?
Own the architecture and evolution of our data platform (currently: ClickHouse, DBT, Dagster, Airbyte, Debezium), with an upcoming migration to Snowflake
Lead the development of production-grade data infrastructure powering our client-facing reporting suite — reliability and uptime matter
Implement and manage high-availability, observable pipelines with clear SLAs and incident processes
Collaborate with ML, backend, and product teams to deeply understand internal and client-facing data needs
Manage data cost structure: monitor query performance, optimize storage and compute usage, manage Snowflake cost strategies
Introduce and maintain operational best practices – 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, with technical depth and business awareness
What professional skills are important for us?
5+ years in data engineering/platform roles, including 2+ в technical/team lead capacity
Experience with modern data stacks — we use ClickHouse, DBT, Dagster, Airbyte, Debezium, and plan to migrate to Snowflake
Deep understanding of building resilient, production-ready data pipelines and working with large-scale analytical workloads
Experience with cost management, query optimization, and production SLAs for client-facing systems
Strong communication and autonomy — you can drive projects end-to-end, communicate tradeoffs, and align across teams
Comfortable with cross-functional work and owning outcomes, not just systems
Bonus: experience in regulated or high-compliance environments (e.g. fintech, healthcare, cannabis)
What Else Matters?
Proactivity– We love team members who take initiative and provide feedback
Critical thinking – We value problem-solvers who think beyond just writing code
Adaptability – Our industry is evolving fast, and we need people who thrive in change
What We Offer
Salary in USD (B2B contract with the US company)
100% remote – We’re a remote-first company, no offices needed!
Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team)
20 paid vacation days per year
12 holidays per year
3 sick leave days
Medical insurance after probation
Equipment reimbursement (laptops, monitors, etc.)
Hiring Process
Recruiter Call (up to 45 minutes) – Quick intro & optional tech screen
Hiring Manager call (up to 45 minutes) - Deep dive into your ML background
Technical Interview (up to 1.5 hours) – Deep dive into ML skills
