Job description
👋🏼 We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17,500 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:
Total Experience-11+

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Dont join nagarro in any case only hype hai.

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Strong experience in solution architecture with at least 5+ years leading technical solutioning for customer RFPs, including system design, estimations, and recommendations.
Full-stack expertise across backend platforms (NodeJS, Python, .NET, Java) and frontend frameworks (React, Vue, Angular).
Cloud-native design experience with hands-on work in Azure, AWS, or GCP.
Presales collaboration and prior experience presenting solution architectures to customers and prospects.
Excellent communication skills in English, with the ability to articulate technical solutions to both technical and non-technical audiences.
Strong research skills for evaluating technologies, libraries, and APIs.
Hands-on experience building POCs with AI-assisted tools.
Nice to have:

Knowledge of data engineering platforms such as Azure Data Factory, Dagster, or Apache Airflow.
Exposure to generative AI and agentic AI.
Prior experience in Energy and Utilities or adjacent domains.

RESPONSIBILITIES:

Lead enterprise solution architecture across complex customer RFPs, ensuring scalability, security, and cost-effectiveness in recommendations.
Own technical strategy by defining architecture blueprints, technology roadmaps, and guiding presales engagements.
Mentor and guide teams of architects, engineers, and presales consultants to deliver high-quality solutions.
Engage with CXO-level stakeholders to present solution approaches, influence decisions, and build trusted advisory relationships.
Drive innovation initiatives by exploring emerging technologies such as generative AI, agentic AI, and modern data engineering platforms.
Architect cloud-native solutions leveraging Azure, AWS, or GCP, with a focus on modernization, migration, and optimization.
Oversee proof-of-concepts and pilots using AI-assisted tools, ensuring alignment with customer requirements and business outcomes.
Shape organizational best practices in solution design, estimation frameworks, and technical governance.
Collaborate cross-functionally with sales, delivery, and product teams to ensure seamless transition from presales to execution.
Represent the company at industry forums, conferences, and customer workshops to showcase thought leadership.

Hi i have 5 years of experience in Data engineering
Let me know if any opportunities

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