How much salary can I expect as a Data Platform Architect in Accenture India Private Limited in Indore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Data Platform Architect in Accenture India Private Limited in Indore?

The candidate should have completed the required education and people who have 7 to 10 years are eligible to apply for this job. You can apply for more jobs in Indore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

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Is it a work from home job?

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Data Platform Architect

Accenture India Private Limited

Data Platform Architect

Accenture India Private Limited

Indore

Not disclosed

Work from Office

Full Time

Min. 7 years

Job Description

Data Platform Architect

Project Role : Data Platform Architect
Project Role Description : Architects the data platform blueprint and implements the 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 : Cloud Data Architecture
Good to have skills : Generative AI, Google BigQuery
Minimum 7.5 year(s) 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.