Databricks Team Leader

Công ty TNHH Diksha TechnologiesQuận Một, Thành phố Hồ Chí Minhglintspaskelbta 2026-11-09
Privaloma:AWSAzureGoogle CloudCloudDataScrumAILeadRemote

Key Responsibilities

  1. Engineering Team Leadership

Lead and supervise a remote engineering team of 5–10 data engineers and AI developers. Provide technical guidance, mentoring, and support to team members. Coordinate task assignments, monitor progress, and maintain engineering quality standards.

  1. Data Platform Architecture & Development

Design and oversee scalable data pipelines and data processing solutions using Databricks. Provide architectural direction for data engineering and AI infrastructure. Guide the team in implementing cloud-based data solutions.

  1. Japanese Stakeholder Collaboration

Act as the primary technical communication point between Japanese stakeholders and the Vietnam engineering team. Analyze business requirements and translate them into technical specifications and solution architectures. Maintain clear communication and alignment throughout project delivery.

  1. Project Execution & Quality Management

Manage delivery schedules, project milestones, and engineering assignments. Oversee code quality and technical implementation. Facilitate Agile/Scrum activities to support effective team collaboration.

  1. AI & LLM Technology Integration

Guide the engineering team in adopting modern generative AI and large language model technologies. Support the use of LLM application development platforms such as Dify. Provide technical direction involving NVIDIA NeMo and related AI frameworks based on project requirements. Required Qualifications Technical Expertise

Proven experience in data engineering, big data technologies, and cloud-based data pipeline development. Strong practical knowledge of Databricks and its application in data engineering solutions. Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Experience with LLM application development tools, including Dify. Familiarity with generative AI technologies and NVIDIA NeMo. Professional Certification

A valid Databricks certification is mandatory. Databricks Certified Data Engineer Professional or an equivalent Databricks certification is acceptable. Leadership & Communication

Previous experience leading or managing technical engineering teams. Strong coordination, communication, and project delivery skills. Japanese communication proficiency equivalent to JLPT N2 or N1, sufficient for direct collaboration with Japanese stakeholders. Location & Mobility

Must be based in Vietnam. Must be willing to work onsite in Japan when required by the project. Ideal Candidate Profile An experienced technical leader with a strong background in Databricks, cloud data engineering, and AI solutions, capable of managing a distributed engineering team while serving as the key technical liaison for Japanese stakeholders.

Skills: Japanese Language, Project Execution, databricks, Data Platform Architecture