🚀 Company Introduction
They&039;re not just a consultancy, they&039;re a transformation partner. Their dynamic team of engineers, architects, and DevOps experts is passionate about delivering impactful cloud solutions across industries, including FinTech, BFSI, and Digital Startups.
Our client empowers organizations by transitioning legacy workloads to cutting- edge Cloud, DevOps, and AI technologies. As Vietnam&039;s AWS Partner of the Year for two years in a row, they bring deep expertise and innovative thinking to every project.
🧠 About the Role
This role is ideal for someone who is ready to step up, take the lead, and own both the technical and business- facing aspects of a fast- growing data practice.
We are looking for a Cloud Data Engineering Lead to take the reins in designing and delivering modern cloud- native data architectures. This is a strategic leadership position. You’ll be building the data and AI practice from the ground up, managing both AI and data teams, and taking full ownership of project delivery and technical direction.
You&039;ll be working at the intersection of big data and cloud computing—leading people and projects, driving innovation, and helping clients solve complex data challenges with confidence and clarity. This role has the potential to evolve into a Chief of Data position, offering significant influence over the company&039;s long- term data and AI strategy.
Senior Engineers with leadership experience are welcome!
Write clean, efficient code using SQL and Python; maintain and tune data solutions for performance.
Architect and build modern cloud- native data platforms (Data Lakes, Lakehouses, Data Warehouses).
Collaborate with DevOps and cloud architects to deploy scalable solutions on AWS/GCP/Azure
Work closely with CTO and CEO in strategic decisions, including technology roadmap and best practices.
Develop robust data pipelines and ETL/ELT processes using modern frameworks (Airflow, Glue, DBT, etc.).
Take ownership of project delivery and technical leadership, from scoping to execution.
Manage real- time data ingestion and streaming solutions with Kafka, Flink, or Apache Beam.
📌 Key Responsibilities
Consult and advise clients on data strategy, architecture design, and AI implementation.
Actively communicate with customers to gather requirements, provide status updates, and ensure alignment.
Lead and grow a high- performing team of data and AI engineers, helping shape both project outcomes and long- term team capability.
Stay ahead of technology trends and recommend new approaches for data strategy and architecture.
🎯 What You Bring
Must- Have:
Past experience leading data projects (formal leadership title not required).
Familiarity with orchestration tools like Apache Airflow, Dagster, or Luigi.
Comfortable engaging in client- facing activities such as requirement gathering, solution consulting, and delivery updates.
Proven hands- on experience with AWS Cloud (e.g., S3, Glue, Redshift, Lambda, Step Functions)
Understanding of modern databases and real- time data systems (Redshift, MongoDB, Kafka, and PostgreSQL)
Solid background working with query engines and processing frameworks (Presto, Flink, PySpark, or DBT)
Excellent communication skills, able to work directly with clients and non- technical stakeholders.
5+ years of experience in data engineering, cloud data architecture, or related roles.
Experience with modern data integration tools (Fivetran, Airbyte, Talend, or AWS Glue)
Strong proficiency in SQL and Python, with a disciplined coding mindset.
Nice- to- Have:
AWS Data Analytics or other relevant cloud certifications.
Exposure to Big Data platforms like Snowflake, Databricks, or Hadoop.
Strong leadership potential with the ability to influence teams and drive decisions.
Experience working with AI/ML projects or teams is a strong plus.
🎁 What We Offer
Competitive salary and full benefits package.
Project- based bonus
13- month salary
Annual company trips, fun team events, and great office vibes.
Clear career path and learning support with access to certifications
Modern, dynamic, and multicultural work environment.
Flexible working environment and collaborative team culture.
Work with cutting- edge cloud & AI technologies.
Join global projects with real impact across industries.
