Lead Data Solutions Architect

About this role

Not quite right? These jobs in Pune match the same skills — apply to a few to improve your chances.

JAVA DEVELOPER (MICROSERVICES & AWS) - VOIS

Vodafone Intelligent Solutions (VOIS)

In OfficePune

Apply

Enterprise Software Engineer (Python, Azure/AWS, Gen AI)

Wolters Kluwer

In OfficePune

Apply

DevOps Engineer (AWS, Terraform, Devops Engineering, Docker, Kubernets)

Wolters Kluwer

In OfficePune

Apply

Manager, Software Engineering

DDN

In OfficePune

Apply

Skills you'll use

What you'll do

• Act as the primary Data architect and trusted advisor for the embedded business function, supporting initiatives from ideation through to production.
• Ensure enterprise Data, ML, and AI architecture principles are applied pragmatically to deliver measurable business value.
• Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.
• Design and document end-to-end data, aligned with enterprise standards for:
• Review and guide solution designs to ensure they are secure, scalable, resilient, and cost-effective.
• Work closely with domain leadership to help shape domain data and AI strategy and roadmaps.
• Act as the voice of the business domain within the central Enterprise Architecture and Data communities.
• Provide structured feedback to central teams to evolve enterprise blueprints, platforms, and governance models based on practical experience.

Who can apply

• Represent the business function in Central Design Authority and architectural review forums.
• Ensure solutions meet enterprise security, data governance, and AI risk standards while remaining delivery-oriented and scalable.
• Champion architectural best practices, data literacy, and AI-responsible design within the business function.
• Balance governance with enablement, ensuring standards accelerate rather than hinder delivery.
• Proactively identify opportunities where data, ML, and AI initiatives can deliver significant business value.
• Advise on DataOps principles prioritisation and sequencing of initiatives based on feasibility, impact, and architectural readiness.
• Support the maturation of the domain’s data product and AI operating model.
• Deep knowledge of modern cloud data architectures on AWS, including lakehouse, streaming, and analytical workloads.

About Syngenta Group

Searching for “Syngenta Group jobs” or “jobs at Syngenta Group”? You’re in the right place.