Technical Architect - Data & AI
External
Tentacle Infotech (s) · Sultan Plaza, SingaporePrepare for this interview
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About the role
Tentacle Tech is an IT and software development consulting company serving some of Malaysia's largest enterprises. We deliver technology solutions, software development services, and IT consulting across multiple industries. We are looking for a talented professional to join our growing team in the technology sector. We are seeking an experienced Technical Architect - Data & AI to design and lead the implementation of enterprise-scale Data, Analytics, AI, and Generative AI solutions within the technology sector. You will bridge business requirements and technology, collaborating with stakeholders, data engineers, data scientists, and cloud architects to deliver scalable, secure, and innovative data-driven outcomes.
Responsibilities
- Define end-to-end architecture for Data, Analytics, Machine Learning, AI, and Generative AI solutions
- Design data platforms, data lakes, data warehouses, and modern lakehouse architectures
- Architect batch and real-time data ingestion pipelines and ETL/ELT frameworks
- Design Generative AI applications using LLMs, RAG, vector databases, and prompt engineering
- Build and establish MLOps and LLMOps practices for deployment, monitoring, and governance
- Design cloud-native solutions on AWS, Azure, or Google Cloud, covering security, performance, and cost optimisation
- Engage stakeholders and present architecture solutions to executive and project teams
Requirements
- Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field
- 10+ years of IT experience with at least 3+ years in Solution Architecture
- Strong hands-on experience designing enterprise Data and AI solutions
- Proficiency with cloud platforms (AWS, Azure, or GCP) and associated managed services
- Experience with data technologies including Snowflake, Databricks, Azure Synapse, and Microsoft Fabric
- Hands-on knowledge of Python, SQL, Spark/PySpark, and DevOps/MLOps tooling (Docker, Kubernetes, Terraform, MLflow)
- Familiarity with Singapore Government technology standards, GCC environments, and GovTech governance frameworks is highly advantageous
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