Cloud Data Engineering Lead (Python, AWS)

Company DescriptionOur client empowers organizations by transitioning legacy workloads to cutting-edge Cloud, DevOps, and AI technologies. As Vietnam's AWS Partner of the Year for two years in a row, they bring deep expertise and innovative thinking to every project.They're not just a consultancy—they'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.About the RoleWe are looking for a Cloud Data Engineering Lead to take the reins in designing and delivering modern cloud-native data architectures. You’ll be working at the intersection of big data and cloud computing—building scalable systems, managing a talented data team, and helping clients solve complex data challenges. This is a unique opportunity to work with top-tier technology leaders, drive innovation, and leave yourmark on some of the most ambitious cloud projects in the region.📌 Key Responsibilities● Architect and build modern cloud-native data platforms (Data Lakes, Lakehouses, Data Warehouses).● Develop robust data pipelines and ETL/ELT processes using modern frameworks (Airflow, Glue, DBT, etc.).● Manage real-time data ingestion and streaming solutions with Kafka, Flink, or Apache Beam.● Collaborate with DevOps and cloud architects to deploy scalable solutions on AWS (or GCP/Azure).● Guide and mentor a growing team of data engineers and AI engineers, helping shape project outcomes and team growth.● Write clean, efficient code using SQL and Python; maintain and tune data solutions for performance.● Contribute to project scoping, design reviews, and strategic data decisions with CTO and CEO.● Stay ahead of technology trends and recommend new approaches for data strategy and architecture