[Only 24h Left] Database Architect

1 week ago


Mumbai, India 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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