Senior Database Architect / Senior DBA

Senior Database Architect / Senior DBA

Senior Database Architect / DBA (SQL, MongoDB, Data Lakes, Vector & Graph Databases)

Position:

Experience Required:

Location:

Employment Type:

About the Role

Database Architect/Administrator

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: https://biglanguage.com

Linkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/