Senior Database Administrator

Senior Database Administrator Senior Database Administrator (SQL, MongoDB, Data Lakes, Vector & Graph Databases)Position: Senior Database AdministratorExperience Required: 12–15 YearsLocation: NoidaEmployment Type: Full-TimeAbout the RoleWe 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 ResponsibilitiesDatabase Architecture & DesignArchitect, 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 & OperationsLead 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 & OptimizationDrive 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 PlatformsImplement 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 & LeadershipPartner 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 & Experience12–15 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 QualificationsExperience 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.EducationBachelor’s or Master’s degree in Computer Science, Information Systems, or related field.Advanced certifications in databases or cloud platforms preferred.Why Join UsLead 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.comLinkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/