Data Architect

Summary

Join SweedPos, a product-driven startup, as a Data Architect to build and scale the data platform for client-facing analytics and core ML functionality. You will lead the design and implementation of the data layer powering reports, manage a team of Analytics Engineers, define processes, and establish data governance standards. This role requires bridging strategy and execution by defining the big picture of data structuring and delivery and working with a team for implementation. The position involves designing the analytical data layer, managing and mentoring Analytics Engineers, acting as a key interface to client-facing teams, establishing governance frameworks, and driving standardization of KPIs. SweedPos offers a 100% remote position with flexible working hours, along with various benefits including paid time off, medical insurance, and equipment reimbursement.

Requirements

• 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 warehouse tech (Snowflake, ClickHouse, BigQuery, etc.)
• Deep understanding of dimensional modeling , data marts, and analytical data design
• Experience implementing data governance practices — documentation, lineage, metric catalogs, access 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 layers, metadata management tools

Responsibilities

• Design and own the architecture of our analytical data layer — with a focus on scalability, transparency, and business alignment
• Manage and mentor Analytics Engineers responsible for implementing data marts and reporting layers (e.g. in dbt)
• Act as a key interface to client-facing teams — help translate customer reporting needs into clear, scalable data models
• Communicate with clients or their representatives , when needed, to clarify requirements, resolve inconsistencies, and explain data model behavior
• Establish and maintain governance frameworks — documentation standards, metric definitions, data ownership, and quality 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 foundation for self-serve analytics , empowering analysts and product managers to explore data safely and consistently

Preferred Qualifications

• Bonus: experience supporting client-facing analytics or building embedded reporting layers inside products
• 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

Benefits

• 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.)