Lead Data Engineer

Benefits:

• Salary up to70M VND GROSS
• 100% salary in probation time
• Healthcare: Annual health check-up, Premium Health Insurance (Trustify Care)
• 12 annual leaves + holidays
• Bonus review bi-annually based on performance
• Bonus for excellent project performance
• Annually company trip & project close team outing

We are looking for aLead Data Engineerwith excellent English communication skills to take ownership of our data platform architecture and lead a team of engineers in building nextgeneration, AI-powered data solutions. This role demands deep expertise in Databricks or Snowflake, ETL pipeline design, and Lakehouse architecture, as well as experience supporting AI/ML initiatives and AI agents.

Requirements:

5+ yearsof hands-on experience indata engineeringor large-scale data platform development.

Strong, proven expertise withSnowflake:platform architecture, performance tuning, cost management, and ELT pipeline design. (Experience with Databricks/Spark/Delta Lake is an additional advantage.)

Expert-level proficiency inPython and SQL, capable of writing efficient, production-ready code.

Solid experience buildingETL/ELTworkflows using Airflow, dbt, or similar orchestration tools.

Deep understanding ofLakehouse architecture, data warehousing concepts, and large-scale performance optimization.

Strong working knowledge of cloud environments (AWS, Azure, or GCP).

Excellent English and Vietnamese communicationskills (both verbal and written) able to engage confidently with international stakeholders and senior leadership.

Strongleadership, problem-solving, and project management abilities.

Preferred Qualifications

Experience with AI/ML lifecycle, MLOps, or AI agent integration (vector databases, embedding models, etc.).

Experience with real-time/streaming data pipelines (e.g., Kafka, Kinesis).

Familiarity with AI frameworks like LangChain, OpenAI/Gemini APIs, HuggingFace, or similar LLM-based tools.

Knowledge of data governance frameworks, including data catalogs, lineage, and privacy controls.

Prior experience in high-growth environments, especially in AI/tech startups or global enterprises.

Responsibilities:

Lead the end-to-end architecture and development of a modern, cloud-native data platform using Snowflake, following Lakehouse principles.

Own and implement advanced ETL/ELT pipelines, ensuring high reliability, performance, scalability, and reusability.

Design and optimize data models (star schema, normalized models) for analytics, BI, and ML workloads.

Collaborate closely with data scientists and AI engineers to deliver training data pipelines, model scoring layers, and agent-ready data services.

Oversee the integration of structured and unstructured data sources, ensuring strong data governance, security, and compliance.

Champion code quality, documentation, testing, and CI/CD best practices across the data engineering team.

Mentor junior and mid-level engineers, conduct code reviews, and foster a culture of technical excellence.

Work directly with global product and business stakeholders using fluent English, including requirement gathering, translating needs into scalable solutions, and presenting architectural recommendations.

Contribute to the development of AI agents and intelligent data services, leveraging real-time data and vector-based retrieval.

Lead performance tuning, cost optimization, and infrastructure scaling across the data stack

Location: Ward Tan Son Hoa, HCMC, Viet Nam.

Report to: Head of Big Data

Interview:

+ Round 1: Intervew vi Head of Big Data + 1 bn Principle DE

+ Round 2: Interview Delevery Director

+ Round 3: Interview vi Client UK ( full Eng)

For more information please contact: Email: [Confidential Information] or Zalo: 0969 719 437