About this Data Platform Engineer role at Accenture
Accenture · Onsite · Singapore
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.
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
• 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
• 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
• 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
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Ready to apply to Accenture?
Apply to Accenture
