Data and AI Solution Architect
Quận 3, Hồ Chí Minh (On-site)
Nghỉ trọn T7, CN
Hạn chót 13/11/2026
Đăng 29 ngày trước
Yêu cầu công việc
- Bachelor's degree or above in Information Technology, Computer Science, Data Engineering, Software Engineering or a related field.
- Approximately 7+ years of technology experience, including hands-on solution architecture experience across Data, Analytics, Cloud or AI.
- Practical experience with cloud data platforms, data lakes/data warehouses, SQL, ETL/ELT, data pipelines, BI/semantic models, APIs/system integration and cloud architecture.
- Good understanding of security, IAM, data governance, data privacy, availability, scalability and observability.
- Strong systems thinking and the ability to evaluate architecture trade-offs based on business value, delivery speed, cost, scalability and operational practicality.
- Ability to communicate architecture and technical decisions clearly to both business stakeholders and technical teams.
- A hands-on mindset: able to go beyond architecture diagrams and work with delivery teams to turn designs into working solutions.
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Công việc cụ thể là gì?
- Design end-to-end Data & AI solutions for data platforms, data warehouses, BI & analytics, AI/ML, Generative AI, enterprise search, RAG and AI Agent use cases.
- Translate business requirements into solution architecture including key components, data flows, integrations, security controls and non-functional requirements.
- Shape data platform and analytics architecture covering ingestion, transformation, data models, semantic layers, data serving, reporting, self-service analytics and advanced analytics.
- Define secure AI architecture including controlled access to enterprise data and APIs, model access, AI gateways, authentication, logging, monitoring, guardrails and data protection.
- Design integration patterns across ERP, operational systems, IoT/OT platforms and enterprise applications using APIs, events, batch processing or integration platforms, while minimizing point-to-point integration.
- Embed security and governance by design working with Cybersecurity and Technology GRC on IAM, encryption, data masking, privacy, audit logging and access control.
- Review vendor solutions and technical proposals identify architecture gaps, dependencies, risks and trade-offs, and ensure alignment with enterprise standards.
- Support delivery through implementation working with Data Engineers, Data Analysts, AI Engineers, application teams and vendors to validate designs, resolve architectural issues and move PoCs/MVPs into stable production solutions.
Quyền lợi có gì?
Lương thưởng
13th payment
Bảo hiểm & sức khoẻ
premium healthcare for all members of family
Học hỏi & phát triển
training oppotunities










