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.

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