Senior Database Administrator

IndiaMART; Dadri; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

IndiaMART is seeking a Lead/Sr. Manager DBA to architect, design, and manage scalable database solutions for business-critical applications and the Data Platform.

You will optimize distributed DB environments (PostgreSQL preferred, plus Cassandra, Graph DB, and other RDBMS/NoSQL), drive migrations, performance tuning, high availability, and DR/HADR strategies while collaborating with Engineering, Product, and Data Platform teams to enable efficient data pipelines and analytics.

Qualifications

• 7 to 10 years of experience in Database Engineering, Administration, or Architecture.

Responsibilities

• Architect, design, and develop scalable database solutions to support business requirements.

Skills

DB architecture

PostgreSQL

NoSQL databases

Performance tuning

Backup & recovery

HA/DR

SQL & PL/pgSQL

Migration & modernization

Automation

Education

B.Tech./B.E. in CS/IT

Tools

Linux/Unix

Shell scripting

Job description

Job description

Job Title / Designation : Lead/Sr. Manager DBA

Location : Noida 135

Job Summary:

The role involves architecting, designing, developing, and managing scalable database solutions that support business-critical applications and the organization's Data Platform. The candidate will be responsible for optimizing and tuning existing database environments, developing new solutions, ensuring high availability, and enabling data-driven applications. Experience in modern Data Platform and Data Engineering technologies will be an added advantage.

Key Responsibility Areas:

• Architect, design, and develop scalable database solutions to support business requirements.
• Analyze, manage, and optimize distributed database environments such as PostgreSQL (preferred), Cassandra, Graph DB, and other relational/NoSQL databases.
• Provide optimal database architecture by analyzing complex production deployments and recommending solutions for scalability, performance, reliability, and availability.
• Work closely with Engineering, Product, Data Engineering, and Infrastructure teams to deliver high-quality platform solutions.
• Provide innovative solutions to complex business and technology challenges.
• Design logical and physical data models following industry best practices.
• Perform database administration activities including capacity planning, performance tuning, backup & recovery, replication, security, High Availability (HA), and Disaster Recovery (DR/HADR).
• Lead database migration, modernization, and platform upgrade initiatives.
• Drive automation of database operations, deployments, monitoring, and maintenance.
• Mentor and train junior engineers while leading and managing database engineering initiatives.
• Collaborate with the Data Platform team to enable efficient data pipelines and analytical workloads.

Qualification:

B.Tech./B.E. in Computer Science, Information Technology

Experience: 7 to 10 years of experience in Database Engineering, Database Administration, or Database Architecture roles.

Must Have Skills :

• Experience in designing and architecting scalable database solutions.
• Hands-on experience with multiple RDBMS and NoSQL databases handling TB-scale data, preferably PostgreSQL, Cassandra, and Graph DB.
• Strong expertise in PostgreSQL, PL/pgSQL, SQL, and query optimization techniques.
• Expert knowledge of database installation, configuration, replication, backup & recovery, upgrades, security, clustering, and HA/DR (HADR) setup.
• Experience in database deployment, monitoring, performance tuning, troubleshooting, and production support.
• Advanced knowledge of PostgreSQL will be preferred.
• Good understanding of data modelling, indexing, partitioning, and database performance optimization.
• Ability to work well under pressure in a fast-paced environment.

Good-To-Have Skills:

• Experience with cloud platforms and managed database services (AWS, Azure, or GCP).
• Experience in database migration across platforms and cloud environments.
• Knowledge of Linux/Unix administration and scripting languages such as Shell, Bash, or Python.
• Exposure to automation, Infrastructure as Code (IaC), and DevOps practices will be an advantage.
• Experience with Data Engineering technologies such as Apache Spark, Kafka, Airflow, ETL/ELT pipelines, Data Warehousing, or Big Data technologies will be an added advantage.
• Experience with Data Platform architecture and modern data ecosystems will be a plus.