Senior Database Architect

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.
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