Gấp

Data Tech Lead

Leadership Data Engineer Data

Icon company Công ty

F8A

Icon salary Lương GROSS
Thương lượng
Icon Location Vị trí
Ho Chi Minh
Icon Vacancies Số lượng còn trống
1 person(s)

Phúc lợi

Lương tháng 13 Lương tháng 13
Bảo hiểm nâng cao Bảo hiểm nâng cao
Thưởng chỉ tiêu Thưởng chỉ tiêu
Cấp laptop Cấp laptop
Du lịch/Công tác Du lịch/Công tác
Đánh giá lương hàng năm Đánh giá lương hàng năm
Phúc lợi khác Phúc lợi khác

Tổng quan về công việc và trách nhiệm

This document describes a senior technical leadership position for our data team. This role is for experienced professionals with 4-6+ years of experience who can handle both technical work and project management Project Management & Delivery - Lead complete data projects including infrastructure, AI services, APIs, and integrations - Define project requirements, timelines, and success criteria - Manage project risks, dependencies, and resource allocation - Make sure projects are delivered on time with good quality - Work with different teams and stakeholders Technical Leadership & Integration - Design and oversee complex data system integrations - Give technical guidance to data engineers and DevOps team members - Review and approve technical architectures and design decisions - Help solve complex technical problems and guide solutions - Make sure data platforms are scalable, performant, and reliable Team Management & Development - Push engineering teams to meet deadlines while helping them grow - Do technical code reviews and architecture discussions - Mentor junior team members on best practices and GenAI usage - Build a culture of continuous learning and improvement Documentation & Process Management - Set up and maintain good documentation standards - Create and update technical specs, runbooks, and process documents - Manage task logging, progress tracking, and reporting systems - Make sure all team members follow documentation practices - Keep architectural diagrams and system documentation updated GenAI Integration & Innovation - Lead the use of GenAI tools across all project phases - Evaluate and implement new AI tools to improve team productivity - Train team members on effective GenAI usage and best practices - Drive innovation in AI-assisted development and project management

Kỹ năng và kinh nghiệm tối thiểu

- Education: Bachelor's/Master's in Computer Science, Data Engineering, or related technical field - Experience: 4-6+ years in data engineering, platform engineering, or technical project management - Leadership: Proven track record of leading technical teams and delivering complex data projects Core Skills Required: GenAI Proficiency (CRITICAL): Must use genAI tools daily for the last 6+ months - Expert with Cursor, Windsurf, Cline, Claude, Napkin, and other AI tools - Use genAI for project planning, technical docs, code review, architecture design, requirements, and team coordination - Train and guide team members on how to use GenAI effectively Clear Communication & Delivery Mindset (CRITICAL): - Excellent communication with strong commitment to on-time delivery - Explain complex projects, technical stacks, problems, and solutions clearly to everyone - Be completely transparent and identify issues early - raise concerns well before deadlines, no surprises - When you commit to deadlines (e.g., June 15 for Task A), deliver exactly on time with full accountability - Take full responsibility for completing tasks and delivering projects successfully - Give realistic time estimates, manage expectations, and keep everyone updated on progress Project Management & Leadership: - Strong PMO-style skills for managing data projects - Gather requirements, manage timelines, allocate resources - Push engineering teams to deliver on time while maintaining quality - Track projects, manage risks, and communicate with stakeholders Technical Architecture & Integration: - Deep knowledge of how data systems work together - Design and explain complex technical implementations - Guide data engineers on specific technical approaches - Understand how different data components connect and integrate Documentation & Standards: Create and enforce documentation standards - All team documentation is in English - Set up documentation frameworks and make sure team follows them - Write technical specs, architecture diagrams, and process docs - Review and improve existing documentation Active Learning & Adaptability: Always learning and adapting to new things - Eager to learn and use new AI tools and methods - Stay up-to-date with data engineering trends and best practices - Quickly adapt to new technologies and frameworks

Tại sao ứng viên nên làm ở đây

- Full salary social insurance (BHXH) - Provision of work computers (MacBook) - 15 days of annual leave - Bonuses for holidays and Tet, as well as a 13th-month salary and other benefits

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