Data Platform Engineer

Accenture in India; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Accenture in India is seeking a Data Platform Engineer to lead AI-driven solution design and delivery. The ideal candidate will have a strong grasp of Generative and Agentic AI, and is responsible for integrating intelligent insights into enterprise workflows.

A minimum of 3 years of experience is required. The role involves innovation, efficiency, and business transformation through advanced AI frameworks.

Qualifications

• Minimum 3 years of experience is required.
• Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks.

Responsibilities

• Lead AI-driven solution design and delivery using Generative and Agentic AI.
• Address complex business challenges and automate processes.

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

Minimum Experience

Minimum 3 Years of Experience Is Required.

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.