Senior Database Administrator

Senior Database Administrator

Senior Database Administrator (SQL, MongoDB, Data Lakes, Vector & Graph Databases)

Position : Senior Database Administrator

Experience Required : 12–15 Years

Location : Noida

Employment Type : Full-Time

About the Role

We are looking for a highly skilled Database Administrator with 12–15 years of experience in database architecture, administration, and performance optimization . The ideal candidate will have deep hands-on expertise in SQL and NoSQL databases (MongoDB) , Data Lakes , and emerging technologies such as Vector Databases and Graph Databases . This role demands a blend of strategic architecture skills and hands-on operational excellence , enabling scalable, high-performance, and secure data solutions for enterprise workloads.

Key Responsibilities

• Database Architecture & Design
• Architect, design, and implement scalable database solutions using SQL (RDBMS), MongoDB, Vector DBs, and Graph DBs .
• Develop and maintain data lake architectures to support analytics, AI / ML, and advanced reporting needs.
• Establish data models, schemas, indexing strategies, and partitioning for performance and scalability.
• Database Administration & Operations
• Lead administration of MongoDB clusters, SQL databases , and cloud-native data services.
• Manage database provisioning, replication, sharding, backup / restore, monitoring, and upgrades.
• Ensure data security, compliance, and governance in multi-environment (on-prem & cloud) setups.
• Performance & Optimization
• Drive query tuning, indexing strategies, and workload balancing across heterogeneous databases.
• Implement high availability (HA) and disaster recovery (DR) strategies.
• Conduct capacity planning and forecasting for large-scale data environments.
• Advanced Data Platforms
• Implement and integrate Vector Databases to support AI / ML-driven search and generative AI applications.
• Deploy and manage Graph Databases (e.g., Neo4j, ArangoDB, JanusGraph) for relationship-driven data use cases.
• Integrate structured, semi-structured, and unstructured data pipelines into data lakes (e.g., Delta Lake, Lakehouse models) .
• Collaboration & Leadership
• Partner with data scientists, application developers, and cloud engineers to deliver end-to-end data solutions.
• Provide technical leadership, mentoring junior DBAs, and defining database best practices.
• Support enterprise initiatives in data modernization, AI adoption, and cloud transformation .

Required Skills & Experience

Preferred Qualifications

Education

Why Join Us

Think global. Think BIG.

Visit us : https : / / biglanguage.com

Linkedin : https : / / www.linkedin.com / company / big-language-solutions / mycompany /