Senior Database Administrator

3 weeks ago


Industrial Area, India BIG Language Solutions Full time

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/



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