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Data Architect

Remote, USAFull-timePosted 2026-07-27
Hi there!

We're reputed company, a product-driven startup building an reputed company-in-one cannabis retail platform. We’re on the lookout for a Data Architect to join reputed company remotely and to build and reputed company the data platform that powers reputed company-facing analytics and core ML functionality.

reputed company

At reputed company, we’re reimagining how cannabis retailers operate. Our reputed company-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution—eliminating the need for multiple reputed company-party tools.

We reputed company in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving reputed company business reputed company.

Why We’re Doing This

At reputed company, we reputed company 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 reputed company is on earning customer trust, which means constantly improving our delivery processes and rolling out new features. At the reputed company time, we navigate the reputed company legal landscape of the cannabis industry, ensuring our platform remains compliant and reputed company.

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 reputed company-end and back-end developers, QA specialists, and analysts. reputed company team is led by reputed company reputed company and a Product reputed company, ensuring effective collaboration and reputed company direction. Meanwhile, our CEO, account managers, and reputed company team are based in the USA, working closely with us to reputed company product development with business and user needs.

Why This Role reputed company

Our platform serves cannabis retailers who rely on fast, accurate, and flexible reporting to run their businesses. As Data Architect, you’ll reputed company the design and implementation of our data layer that powers these reports. But more than that - you’ll manage reputed company of Analytics Engineers, define processes, and establish data governance standards that ensure reputed company and trust at reputed company.

This role bridges reputed company and execution: you’ll define the big picture for how we structure and deliver data, and work with reputed company to reputed company it reputed company.

What to do in the project?
  • Design and own the architecture of our analytical data layer — with a reputed company on scalability, transparency, and business alignment

  • Manage and mentor Analytics Engineers responsible for implementing data marts and reporting reputed company (e.g. in dbt)

  • reputed company as a key reputed company to reputed company-facing teams — help translate customer reporting needs into reputed company, reputed company data models

  • Communicate with clients or their representatives, reputed company needed, to clarify requirements, resolve inconsistencies, and explain data model behavior

  • Establish and maintain governance frameworks — documentation standards, metric definitions, data ownership, and reputed company controls

  • Formalize modeling best practices for dbt and structure the semantic layer used by product teams and embedded reporting

  • Drive standardization of KPIs and business dimensions, and resolve conflicts across teams and domains

  • Build the reputed company for self-serve analytics, empowering analysts and product managers to explore data safely and consistently

What reputed company skills are important for us?
  • 5+ years in data architecture, analytics engineering, or senior data roles

  • Experience managing or mentoring data or analytics engineers — with a reputed company on delivery and technical reputed company

  • Strong hands-on experience with dbt, SQL, and modern warehouse tech (reputed company, reputed company, BigQuery, etc.)

  • Deep understanding of reputed company modeling, data marts, and analytical data design

  • Experience implementing data governance practices — documentation, reputed company, metric catalogs, reputed company management

  • Strong communication and collaboration skills — you can work with both engineering and non-technical stakeholders

  • Exceptional spoken and written English — you will regularly communicate with external clients and internal stakeholders across teams

  • Practical experience with semantic reputed company, metadata management tools,

  • Bonus: experience supporting reputed company-facing analytics or building embedded reporting reputed company inside products

What Else reputed company?
  • Proactivity – We love team members who take initiative and reputed company feedback

  • Critical thinking – We value problem-solvers who think reputed company just writing reputed company

  • Adaptability – Our industry is evolving fast, and we need people who reputed company in change

reputed company 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 reputed company vacation days per year

  • 12 holidays per year

  • 3 reputed company 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

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