Data Platform Engineer

Accenture Southeast Asia
Singapore, Singapore
Salary not specified
Posted
Full-time
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Job Description

About The Role As a Data Platform Engineer, you will design and deliver scalable infrastructure that supports the training and deployment of generative AI models. This role plays a key part in enabling data-driven innovation by ensuring high-performance, reliable, and cost-efficient platforms. You will collaborate with cross-functional teams to build solutions that drive business impact and accelerate AI adoption. Key Responsibilities - Design, build, and implement infrastructure to support large-scale training and inference of generative AI models - Optimize platform performance, scalability, and cost efficiency across data and AI workloads - Evaluate infrastructure technologies and vendors, providing recommendations aligned with business needs - Develop and maintain observability, monitoring, and operational controls for data platforms - Collaborate with engineering, analytics, and product teams to deliver robust and scalable AI solutions - Support continuous improvement of platform architecture and engineering practices - Contribute to technical discussions and problem-solving initiatives across teams - Build expertise in data platforms and AI infrastructure through hands-on experience and learning Required Qualifications - Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field - Minimum 1 year of relevant experience in data engineering, platform engineering, or similar roles - Intermediate proficiency in Python, with hands-on experience using the Pandas library - Intermediate proficiency in Tableau or similar data visualization tools - Understanding of data processing, data pipelines, and large-scale data systems - Strong analytical and problem-solving skills with attention to detail - Ability to work independently and collaboratively in a team environment Preferred Qualifications (Optional) - Basic knowledge of data architecture and database design principles - Familiarity with platform engineering concepts and cloud infrastructure - Exposure to technology architecture planning or roadmap development - Interest in generative AI technologies and their infrastructure requirements

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