Database Architect

Talent XO; Mumbai; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

TalentXO is seeking a hands-on Database Architect to own enterprise database architectures across on-prem and cloud environments. You will design data models, optimize performance, ensure high availability, and drive security and DR strategies.

You will collaborate with Application Architects, DevOps, and Data Engineers to deliver scalable data platforms that meet business goals and regulatory requirements.

Qualifications

• 8+ years of experience in database engineering, database administration, or database architecture.
• Experience designing enterprise-scale database solutions with HA, DR, backup/recovery, and cloud migrations.
• Strong understanding of data modeling, SQL tuning, and security/compliance Best practices.

Responsibilities

• Design and implement enterprise database architectures aligned with business needs.
• Define standards, data models, schemas, naming conventions, and architecture patterns.
• Design highly available, scalable, secure, and resilient database solutions.

Skills

Database design

Performance optimization

High availability

Scalability

Security

Disaster recovery

Cloud database technologies

SQL optimization

Data modeling

Tools

Oracle

Microsoft SQL Server

MySQL

MongoDB

Job description

TalentXO is an HR-Tech startup invested in generating recruitment solutions that offer a wonderful hiring experience for opportunity and talent seekers. Our mission is to be the only platform in India that will ever be needed for professionals to reach their next milestone in their careers and for companies to meet the perfect fit for their corporate growth.

Job Description

Experience: 8+ Years

Employment Type: Full-Time

Work Mode: Work from Office

Job Summary

We are looking for an experienced Database Architect to design, develop, and oversee enterprise-scale database architectures. The ideal candidate will have strong expertise in database design, performance optimization, high availability, scalability, security, disaster recovery, and cloud database technologies .

The Database Architect will work closely with Application Architects, Developers, DevOps Engineers, Data Engineers, and Business Stakeholders to build reliable, secure, highly available, and scalable data platforms.

Key Responsibilities

• Design and implement enterprise database architectures aligned with business and application requirements.
  
• Define database standards, data models, schemas, naming conventions, and architecture patterns.
  
• Design highly available, scalable, secure, and resilient database solutions.
  
• Perform database performance tuning, query optimization, indexing, partitioning, and capacity planning .
  
• Design and implement High Availability (HA), Disaster Recovery (DR), backup, recovery, and replication strategies .
  
• Lead database migration, modernization, consolidation, and upgrade initiatives.
  
• Evaluate and recommend appropriate database technologies based on workload, scalability, performance, and business requirements.
  
• Work closely with development teams to optimize SQL queries, stored procedures, database transactions, and data access patterns .
  
• Establish database security standards covering access control, encryption, auditing, compliance, and data protection .
  
• Support database cloud migration and architecture across AWS, Microsoft Azure, and Google Cloud.
  
• Develop database scalability strategies using read replicas, sharding, partitioning, caching, clustering, and distributed databases where appropriate.
  
• Conduct architecture reviews and provide technical guidance to engineering teams.
  
• Monitor database health, capacity, availability, reliability, and performance.
  
• Create and maintain database architecture documentation, technical specifications, standards, and best practices .
  
• Identify technical risks, bottlenecks, and opportunities for database modernization and optimization.
  
• Mentor Database Engineers, DBAs, Developers, and other technical team members .
  

Required Technical Skills

Database Technologies

Strong hands-on expertise in one or more of the following:

• Oracle
  
• Microsoft SQL Server
  
• MySQL
  
• MongoDB / NoSQL Databases
  
• Relational Database Architecture
  
• Logical and Physical Data Modeling
  
• OLTP and OLAP Architectures
  
• Data Warehousing
  
• Database Normalization and Denormalization
  
• Indexing and Partitioning
  
• Replication and Clustering
  
• High Availability (HA)
  
• Disaster Recovery (DR)
  
• Backup and Recovery Strategies
  
• Database Scalability and Capacity Planning
  

Performance & Optimization

• SQL Query Optimization
  
• Index Optimization
  
• Stored Procedure Optimization
  
• Database Performance Tuning
  
• Transaction Management
  
• Concurrency and Locking
  
• Capacity Planning
  
• Database Migration to Cloud
  
• Cloud-native Database Architecture
  
• Managed Database Services
  
• Read Replicas and Distributed Databases
  
• Database Monitoring and Observability
  

Security

• Database Access Control
  
• Encryption at Rest and in Transit
  
• Auditing and Compliance
  
• Role-Based Access Control (RBAC)
  
• Data Protection and Security Best Practices
  

Preferred Qualifications

• 8+ years of experience in database engineering, database administration, or database architecture .
  
• Proven experience designing and implementing enterprise-scale database solutions .
  
• Strong experience with HA/DR, replication, backup/recovery, and database performance optimization .
  
• Experience leading database migration, modernization, or cloud transformation projects.
  
• Strong understanding of application architecture and database integration patterns.
  
• Excellent problem-solving, architecture, documentation, and communication skills.
  
• Experience mentoring technical teams and providing architecture-level guidance.
  

What We’re Looking For

We are looking for a hands-on Database Architect who can take ownership of database architecture decisions, solve complex performance and scalability challenges, and guide engineering teams in building secure, highly available, and future-ready data platforms .