Teams at Ultra Tendency

Lead and develop engineering teams through coaching, performance management, delivery ownership, and technical guidance. Drive resolution of risks and blockers, manage priorities and stakeholder expectations, support architecture and quality initiatives, and improve engineering processes. The role emphasizes technical excellence, Agile delivery, collaboration across distributed teams, and employee growth, with optional experience in modern data platforms and cloud technologies.

Serve as the primary liaison between Japanese customers and international engineering teams on data and AI projects. Gather and translate customer requirements into actionable engineering tasks, manage project scope, schedules, and deliverables, lead customer meetings and status reviews, and coordinate risks and issue resolution. The role requires strong Japanese communication, a basic IT background, proactive prioritization, and collaboration with executives, stakeholders, architects, and engineers.

Design, implement, and maintain scalable batch and streaming data pipelines on Databricks using Spark and Delta Lake. Collaborate with engineers, data scientists, architects, and clients to deliver production-ready solutions supporting analytics, machine learning, and business intelligence. Optimize performance and processing costs while supporting data quality, governance, security, CI/CD, orchestration, and version control best practices. Share knowledge and mentor junior engineers in an international consulting environment.