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 /