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 Data Engineer(Senior/Lead) 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 Snowflake, ETL pipeline design, and Lakehouse architecture, as well as experience supporting AI/ML initiatives and AI agents.
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.
Requirements
- 5+ years of hands-on experience in data engineering or large-scale data platform development.
- Strong, proven expertise with Snowflake: platform architecture, performance tuning, cost management, and ELT pipeline design.
(Experience with Databricks/Spark/Delta Lake is an additional advantage.)
- Expert-level proficiency in Python and SQL, capable of writing efficient, production-ready code.
- Solid experience building ETL/ELT workflows using Airflow, dbt, or similar orchestration tools.
- Deep understanding of Lakehouse architecture, data warehousing concepts, and large-scale performance optimization.
- Strong working knowledge of cloud environments (AWS, Azure, or GCP).
- Excellent English communication skills (both verbal and written) able to engage confidently with international stakeholders and senior leadership.
- Strong leadership, 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.
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)
