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

12–15 years

of proven experience as a

Database Administrator

in large-scale environments.

Strong expertise in

MongoDB architecture & administration

(replication, sharding, Atlas).

Deep experience with

SQL databases

(Oracle, MS SQL Server, PostgreSQL, MySQL).

Strong knowledge of

data lake and lakehouse architectures

(Delta Lake, Snowflake, or BigQuery).

Hands-on experience with

Vector Databases

(Pinecone, Weaviate, Milvus, FAISS, or equivalent).

Experience with

Graph Databases

(Neo4j, TigerGraph, Amazon Neptune, or equivalent).

Strong understanding of

data modeling, indexing, caching, and query optimization .

Proficiency in

automation, scripting, and DevOps practices

for database administration (Python, Shell, Ansible, Terraform).

Knowledge of

cloud data services

(AWS RDS / Redshift, GCP BigQuery, Azure SQL, Cosmos DB).

Solid grasp of

security, compliance, and data governance frameworks .

Preferred Qualifications

Experience supporting

AI / ML pipelines and real-time analytics .

Exposure to

multi-cloud and hybrid data deployments .

Certifications in

MongoDB DBA / Architect, Oracle DBA, Azure / GCP / AWS Data Engineer .

Strong experience in

microservices-based architectures

and database integration patterns.

Education

Bachelor’s or Master’s degree in

Computer Science, Information Systems, or related field .

Advanced certifications in databases or cloud platforms preferred.

Why Join Us

Lead enterprise-wide initiatives in

next-generation data platforms .

Work with

cutting-edge database technologies

powering AI, analytics, and mission-critical workloads.

Collaborate with

global teams

on complex, high-impact projects.

Competitive compensation, benefits, and career growth opportunities.

Think global. Think BIG.

Visit us : https : / / biglanguage.com

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