Team Lead (Python) - Data

SplitMetrics

22d • Remote

About The Position

SplitMetrics is seeking a Team Lead (Python) to join its engineering team. The role owns planning and delivery of technical roadmap items, leads backend, full-stack, and QA engineers, and helps ensure predictable delivery. It contributes to quarterly and multi-quarter planning with the Director of Data & AI and Product Manager, while managing technical risks and aligning priorities with product managers, solution architects, and other teams.

The Team Lead will improve data gathering and pipelines, performance, and system reliability; modernize legacy services; improve architecture; and reduce technical debt. The role also ensures that work is properly documented and that the team maintains visibility and shares knowledge. SplitMetrics describes its work environment as remote-first, with flexible scheduling and coworking coverage, as well as office hubs in key locations. Remote hiring may have location-specific eligibility requirements.

Requirements

• At least 6 years of Python experience, including experience with high-performance data systems such as StarRocks.
• At least 2 years in a role with technical leadership responsibilities, such as team leader or tech lead.
• Experience planning, estimating, and delivering complex projects, such as database migrations.
• Deep familiarity with data lakehouse architectures.
• Experience with data gathering or data scraping.
• Strong understanding of performance optimization and scalability principles.
• Confidence in owning decisions with business impact.
• Ability to work under high delivery pressure and manage trade-offs.
• B1+ English level.

Responsibilities

• Take full ownership of planning and delivering technical roadmap items.
• Lead backend, full-stack, and QA engineers, organize day-to-day work, and ensure predictable delivery.
• Improve estimation accuracy and reduce delays.
• Plan work for the next quarter and contribute to high-level multi-quarter planning with the Director of Data & AI and Product Manager.
• Maintain and regularly review the current technical risks registry, and manage risks early.
• Optimize data gathering processes, data pipelines, performance, and system reliability.
• Drive modernization of legacy services, architecture improvements, and technical debt reduction.
• Collaborate with product managers, solution architects, and other teams on priorities and alignment.
• Ensure proper documentation, visibility, and knowledge sharing within the team.

Benefits

• Vacation and public holidays according to the employee's country's regulations.
• Additional annual PTO for personal rejuvenation.
• Medical insurance or healthcare compensation.
• Paid sick leave.
• Access to online and offline conferences and mobile industry events.
• Internal courses for professional development.
• Supportive, micro-management-free management style.
• Semi-annual performance review sessions.
• Career opportunities through an internal mobility program.
• Corporate online events and offline team retreats.
• Flexible working schedule.
• Remote-first working environment.
• Coworking costs coverage program.
• Office hubs in key locations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed