Database Architect

Database Architect – AI Platform Engineering

Location : Mumbai | Onsite | Full-Time

About Network Science

At Network Science, we enable enterprises to unlock the full power of AI — to innovate faster, scale smarter, and lead confidently in a world that’s changing by the minute.

Our approach is simple :

✅ Speed in execution

✅ Simplicity in design

✅ Co-creation with purpose

We are building the Operating System for the Enterprise AI World, and we’re looking for a Database Architect who thrives on complexity, precision, and scale.

What You’ll Do

As a Database Architect, you’ll be the backbone of our AI platform’s data layer — ensuring that data integrity, availability, and scalability are baked into everything we build.

Your role is mission-critical in enabling high-performance applications, seamless ML integrations, and secure global deployments.

Key Responsibilities :

• Design, develop, and optimize enterprise-grade databases for AI-enabled platforms and SaaS products
• Build scalable, secure, and high-performance data architectures using relational and NoSQL technologies
• Collaborate with product, AI, and engineering teams to translate use cases into data models and pipelines
• Own and optimize ETL workflows, ensuring fast, reliable movement of data between systems
• Implement data governance, security, and backup strategies across environments
• Ensure real-time and batch processing readiness for AI applications
• Support data access layers, caching strategies, and indexing policies for API performance
• Troubleshoot database bottlenecks and drive tuning / optimization initiatives
• Help define and enforce data architecture standards and documentation

Must-Have Qualifications

Preferred (Good-to-Have) Skills

Why Join Us?

At Network Science, you won’t just be building tables and indexes —

You’ll be laying the foundation for global AI acceleration.

You’ll work with a team of world-class engineers, AI scientists, and product thinkers who are building real-world platforms that solve real-world problems.