Senior database administrator sql server

Senior Database Administrator Senior Database Administrator (SQL, Mongo DB, Data Lakes, Vector & Graph Databases)Position: Senior Database Administrator Experience Required: 12–15 Years Employment Type: Full-Time 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 No SQL databases (Mongo DB) , 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. Database Architecture & Design Architect, design, and implement scalable database solutions using SQL (RDBMS), Mongo DB, 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 Mongo DB 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. 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, Arango DB, Janus Graph) for relationship-driven data use cases. Integrate structured, semi-structured, and unstructured data pipelines into data lakes (e.g., 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 Mongo DB architecture & administration (replication, sharding, Atlas). ~ Deep experience with SQL databases (Oracle, MS SQL Server, Postgre SQL, My SQL). ~ Strong knowledge of data lake and lakehouse architectures (Delta Lake, Snowflake, or Big Query). ~ Hands-on experience with Vector Databases (Pinecone, Weaviate, Milvus, FAISS, or equivalent). ~ Experience with Graph Databases (Neo4j, Tiger Graph, Amazon Neptune, or equivalent). ~ Strong understanding of data modeling, indexing, caching, and query optimization . ~ Proficiency in automation, scripting, and Dev Ops practices for database administration (Python, Shell, Ansible, Terraform). ~ Knowledge of cloud data services (AWS RDS/Redshift, GCP Big Query, Azure SQL, Cosmos DB). ~ Solid grasp of security, compliance, and data governance frameworks . Experience supporting AI/ML pipelines and real-time analytics . Exposure to multi-cloud and hybrid data deployments . Certifications in Mongo DB DBA/Architect, Oracle DBA, Azure/GCP/AWS Data Engineer . Strong experience in microservices-based architectures and database integration patterns. Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field . Advanced certifications in databases or cloud platforms preferred. 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. Linkedin: