Skip to Content

CT GROUP

Data Engineer Leader

Ho Chi Minh City, Vietnam
Calendar 04/03/2026
| Full-time
Apply
Salary
Salary

30000000-40000000

Location
Work location

Ho Chi Minh City

date
Submission deadline

04/03/2026

target
Target number

1

MAIN RESPONSIBILITIES

Leading Strategy & Roadmap for Data Engineering
  • Build and lead the development roadmap for Data Engineering, transforming business objectives into technical plans, prioritized initiatives, and measurable outcomes (OKRs/KPIs).
  • Serve as the primary technical point of contact in critical data architecture decisions, ensuring alignment with the overall data strategy.
  • Proactively identify and manage technical risks, ensuring the progress, quality, and long-term sustainability of the data platform.
Data Architecture & Platform
  • Lead the design and implementation of the Data Lakehouse architecture on Azure, including the selection and optimization of technologies:
    • Azure Data Lake Storage Gen2
    • Delta Lake
    • Azure Synapse Analytics / Azure Databricks
  • Design highly scalable data architecture optimized for both batch processing and streaming.
  • Pioneer the implementation of strategies to optimize large data storage and querying, balancing performance, scalability, and operational costs.
Develop & Operate Data Pipelines
  • Design, develop, and optimize high-performance ETL/ELT pipelines from various data sources: on-premises, cloud, streaming, API, file system.
  • Ensure pipelines are fault-tolerant, self-healing, well-monitored, and meet SLA requirements in a production environment.
  • Build real-time/near-real-time pipelines to directly serve AI/ML systems and advanced analytics.
Integration & Cross-Team Coordination
  • Act as a technical bridge between Data Engineering and AI/ML, BI, DevOps, and Product teams.
  • Support data integration into:
    • Machine Learning models in a production environment
    • BI systems, dashboards, and predictive analytics
    • Complex data applications
  • Coordinate with infrastructure and security teams to design and operate a secure data system, complying with security standards and internal regulations.
Data Governance & Technical Standards
  • Establish and enforce data governance standards, including:
    • Data Quality Framework
    • Centralized Metadata Management
    • Automated Data Lineage and Data Observability
  • Ensure compliance with best practices in data design, coding standards, and documentation.
Lead the Team & Share Knowledge
  • Train, mentor, and develop technical capabilities for Data Engineers.
  • Conduct code reviews, architecture design reviews, and technical documentation reviews.
  • Build a high-quality technical documentation system to facilitate knowledge sharing and effective operations among teams.

JOB REQUIREMENTS

  • Graduated with a Bachelor's or Master's degree in fields such as: Information Technology, Data Science, Information Systems, or equivalent.
  • Minimum of 8+ years of experience in the field of Data Engineering, including 2–3 years in a Technical Lead/Team Lead role.
  • Experience in designing and implementing end-to-end data solutions at scale in a production environment.
  • In-depth and practical experience in deploying and operating data infrastructure on Azure Cloud, including:
    • Azure Data Lake Storage Gen2
    • Azure Synapse Analytics, Azure Data Factory, Azure Databricks
    • Streaming systems: Azure Event Hub, Azure Stream Analytics, or Apache Kafka
  • Proficient in SQL and at least one programming language such as Python or PySpark.
  • Solid understanding of distributed computing principles and big data processing.
  • Deep experience in designing advanced data models (Star Schema, Snowflake Schema), mastering Lakehouse architecture and Delta Lake best practices.
  • Mandatory experience in operating large-scale production data systems, stable real-time pipelines, and direct integration with the AI/ML layer.
  • High ownership of work, system thinking, and a structured approach to problem-solving.
  • Excellent communication and cross-departmental collaboration skills with AI, DevOps, Product teams, and technical stakeholders.
  • Strong analytical and problem-solving mindset; confident in decision-making in complex and ambiguous contexts.
  • Growth mindset, continuous learning spirit, flexibility, and willingness to experiment with new technologies.

BENEFITS & WELFARE

Related jobs (140)

APPLY NOW