Platform Team Lead (Data Platform)

Datarails is a financial planning and analysis platform that automates financial reporting and planning while enabling finance teams to continue using Excel's familiar spreadsheets and financial models.  

Datarails applications run thousands of custom data pipelines daily and serve thousands of organizations worldwide. 

We’re looking for an experienced Platform Team Lead to drive the evolution of our Data Platform, the backbone that powers analytics, automation, and scalability across our rapidly growing fintech ecosystem.

You’ll lead a talented team of up to five developers, guide architectural decisions, and help shape the technical direction as we move from a monolithic setup toward a modern, service-oriented platform

Our technology teams are the driving force of our business.

Our tech teams maintain a dynamic, start-up atmosphere that fosters innovation and critical thinking. At Datarails, you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.

• →Lead and mentor a team of data platform engineers, fostering collaboration, ownership, and technical excellence.
• →Drive the evolution of our platform — from monolithic components to scalable, service-based architecture.
• →Design, build, and maintain data pipelines and ETL processes that enable reliable and high-quality data flows across the company.
• →Collaborate closely with Product, Architecture, and DevOps teams to design and deliver reliable, high-performance systems.
• →Oversee the development of new features and platform capabilities — ensuring code quality, maintainability, and on-time delivery.
• →Guide the migration from Celery-based workflows to Temporal, improving reliability and orchestration of data flows.
• →Take part in shaping best practices around CI/CD, monitoring, and cloud-native development (Kubernetes).
• →Encourage innovation and continuous improvement within the team.

• 7+ years of experience in software development with a strong background in Python.
• 3+ years in a leadership or management role, mentoring engineers and driving team success.
• Hands-on experience with Celery and distributed systems.
• Familiarity with Temporal (advantage) or other workflow orchestrators.
• Proven experience building and maintaining data pipelines and ETL processes.
• Solid understanding of data platforms and database technologies, including analytical databases, column-based storage/indexing, and how they differ from traditional relational databases (OLTP).
• Strong understanding of FastAPI, Django, and data access patterns.
• Experience designing scalable systems and working on refactoring monolithic architectures.
• Working knowledge of Kubernetes and CI/CD pipelines — not necessarily deep expertise, but enough to collaborate effectively with DevOps.
• Excellent communication, leadership, and problem-solving skills.