Data Platform Engineer

Accenture in India; Kolkata District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Accenture in India is seeking a Data Platform Engineer to assist with data platform design and integrate AI-driven solutions to enhance innovation and efficiency. The ideal candidate will have a minimum of 2 years' experience and a strong grasp of Generative and Agentic AI frameworks.

The role focuses on leading the design and delivery of solutions while collaborating with architects and ensuring cohesive data integration.

Qualifications

• Minimum 2 years of experience in relevant field.
• Strong understanding of Generative and Agentic AI frameworks.
• Experience in prompt engineering and AI evaluation frameworks.

Responsibilities

• Lead AI-driven solution design and delivery.
• Collaborate with architects to ensure cohesive integration.
• Automate processes and integrate intelligent insights.

Skills

Databricks Unified Data Analytics Platform

Education

15 years full time education

Job description

Project Role

Data Platform Engineer

Project Role Description

Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must Have Skills

Databricks Unified Data Analytics Platform

Good to Have Skills

None

Minimum Experience

2 years

Educational Qualification

15 years full time education

Summary

Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

Roles & Responsibilities

Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Professional & Technical Skills

Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.