Database Architect

17 hours ago

Mumbai Maharashtra India, Maharashtra Network Science Full time
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
  • 5+ years of experience in database design, architecture, and administration
  • Deep expertise in SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)
  • Strong experience with ETL processes and data pipeline design
  • Solid understanding of data modeling, normalization/denormalization, and schema design
  • Proficiency in performance tuning, indexing strategies, and query optimization
  • Familiarity with cloud-native databases and AWS RDS / Aurora / DynamoDB / GCP Firestore
  • Strong collaboration and communication skills — you’ll work across functions and geographies
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field


Preferred (Good-to-Have) Skills
  • Experience with data warehousing tools like Redshift, BigQuery, or Snowflake
  • Exposure to data lakes, streaming data, and Kafka
  • Familiarity with ML model pipelines and data requirements for training/inference
  • Experience with GraphQL, REST APIs, and caching layers like Redis
  • Understanding of data compliance & governance frameworks (GDPR, HIPAA, etc.)
  • Certifications in database technologies (AWS, Google Cloud, Microsoft SQL, etc.)


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.

  • And yes — you’ll ship fast, iterate faster, and always stay ahead of the curve.

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