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Renova Cloud is a leading provider of Cloud Computing, DevOps, and AI Solutions in Vietnam. As the AWS Partner of the Year for 2023, 2024 and 2026, we bring together a highly skilled team of cloud architects, AI/data engineers, and DevOps professionals. We specialize in helping enterprises modernize their workloads, accelerate cloud adoption, and embrace the next generation of AI and automation technologies.
In July 2025, Renova Cloud signed a Strategic Collaboration Agreement (SCA) with AWS (Amazon Web Services) to accelerate the adoption of Generative AI in Vietnam. Following this, we officially launched the Renova AI Factory — a dedicated innovation hub in Ho Chi Minh City designed to incubate and scale GenAI workloads, enabling enterprises to co-create real-world solutions with our experts.
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Position Summary
Lead and grow the data engineering team, advise enterprise clients on data strategy, architect modern cloud-native data platforms (Lakes/Warehouses), and build scalable real-time streaming and ETL/ELT pipelines.
Key Relationships
- Act as a trusted advisor to clients, bridging business and technology by shaping data strategy, defining scalable architectures, and driving alignment through clear communication of progress, risks, and business outcomes.
- Lead and grow a team of data engineers, fostering a culture of ownership, innovation, and continuous learning.
- 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.).
- Build and manage real-time data ingestion and streaming solutions with Kafka, Flink, or Apache Beam.
- Drive best practices in writing high-quality SQL and Python code, while overseeing performance optimization and scalability of data systems across projects.
- Collaborate with DevOps and cloud architects to deploy scalable solutions on AWS (or GCP/Azure).
- Work closely with CTO and CEO in strategic decisions, including technology roadmap and best practices.
- Stay ahead of technology trends and recommend new approaches for data strategy and architecture.
Key Relationships
Internal
Team members
External
Clients
Partners
Qualifications and Experience
Memberships
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Strong proficiency in Python and SQL with a disciplined coding mindset.
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Experience with orchestration tools (Apache Airflow, Dagster, Luigi).
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Experience with modern data integration tools (AWS Glue, Fivetran, Airbyte, Talend).
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Solid background in query engines and processing frameworks (dbt, PySpark, Presto, Flink).
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Deep understanding of databases and streaming architectures (Redshift, PostgreSQL, MongoDB, Kafka).
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Proven hands-on experience with cloud platforms (AWS preferred, or GCP/Azure).
Experience
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6+ years of hands-on experience in data engineering, cloud data architecture, or related roles.
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Proven track record of architecting modern cloud data platforms (Data Lakes, Lakehouses, Warehouses) and setting up streaming/batch pipelines.
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Demonstrated experience working directly with external clients/business stakeholders.
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Domain exposure to Financial Services, E-commerce/Retail, or SaaS/Technology industries (preferred).
Personal Requirements
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High-level leadership ability to mentor engineers and foster a team culture of ownership and innovation.
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Strong business and analytics mindset—ability to translate raw data systems into measurable business outcomes.
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Excellent client-facing communication skills to serve as a trusted advisor to key stakeholders.
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Strategic thinking to collaborate with executive leadership (CTO/CEO) on tech roadmaps and emerging industry trends.
