Data Engineer (Senior/Lead)

About Trustify Technology

Trustify Technology brings to the world its excellence in Software Development & Testing Services as well as its cutting- edge solutions that can elevate the client product & service delivery. We become the trust partner in IT outsourcing by its collaborative approaches and how the cooperative steps are being nurtured.

Our mission is to deliver the highest quality of services to our customers, employees, and partners. When you join us, you will find:

You play a key to success in our team

Well compensation package based on performance and value creation

Opportunities to work with talented people and deliver the best product to improve health for humanity.

Benefit upon this position

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

About Job Description

We are looking for a Lead Data Engineer with excellent English communication skills to take ownership of our data platform architecture and lead a team of engineers in building next-generation, 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.

Responsibilities

Lead the architecture and development of a modern, cloud-native data platform using Databricks/Snowflake, and Lakehouse principles.

Own and implement advanced ETL/ELT pipelines, ensuring reliability, performance, and reusability across systems.

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

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

Guide integration of structured and unstructured data sources, and oversee governance, security, and compliance.

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

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

Collaborate with product and business stakeholders using fluent English to gather requirements, translate needs into scalable solutions, and present architectural choices.

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.

Requirements

5+ years of hands-on experience in data engineering or data platform development.

Proven success designing and operating large-scale data platforms using Databricks (Spark, Delta Lake) or Snowflake.

Expert-level Python and SQL skills, with ability to write efficient, production-ready code.

Strong experience building ETL/ELT workflows, ideally using Airflow, dbt, or equivalent orchestration tools.

Deep understanding of data Lakehouse architecture, data warehousing, and performance tuning at scale.

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

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

Excellent English communication skills, both verbal and written capable of engaging confidently with global stakeholders and executives.

Strong leadership, problem-solving, and project management skills.

Preferred Qualifications

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.

Preferred Contact us to apply

Email: [Confidential Information]

Head Office: 40/4 Lam Son, Ward Tan Son Hoa, HCMC, Viet Nam.

Web:https://trustifytechnology.com/

Working time: Monday Friday (9.00 AM 6.00 PM)