Data Tech Lead

Summary

Join SweedPos, a product-driven startup, as a Data Tech Lead to build and scale the data platform for client-facing analytics and core ML functionality. This remote role requires leading the development of production-grade data infrastructure, implementing high-availability pipelines, and collaborating with various teams to understand data needs. You will manage data costs, introduce operational best practices, and mentor a team of data engineers and analysts. The ideal candidate possesses 5+ years of experience in data engineering, including 2+ years in a technical/team lead capacity, and expertise with modern data stacks (ClickHouse, DBT, Dagster, Airbyte, Debezium, and Snowflake). The position demands strong communication, autonomy, and the ability to drive projects end-to-end. SweedPos offers a competitive salary, 100% remote work, flexible hours, and various benefits.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Bonus: experience in regulated or high-compliance environments (e.g. fintech, healthcare, cannabis)
• 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.)