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/