Senior Database Architect / Senior DBA

Senior Database Architect / Senior DBA Senior Database Architect / DBA (SQL, MongoDB, Data Lakes, Vector & Graph Databases) Position: Senior Database Architect / Senior DBA Experience Required: 12–15 Years Location: Noida Employment Type: Full-Time About the Role We are looking for a highly skilled Database Architect/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 and Architect 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: Linkedin:

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