Database Administrator (DBA)

Collective.work; Massy; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

A leading tech company in Île-de-France is seeking an experienced Database Administrator to manage and optimize database systems. Candidates should have strong expertise in database architecture and performance tuning, along with experience in handling vector databases. The role involves ensuring database security, compliance, and high availability. Ideal candidates will have 3-5 years of experience and a Bachelor’s degree in a related field.

Qualifications

• 3-5 years of experience as a DBA in a production environment.
• Hands-on experience with vector databases.
• Strong knowledge of at least one enterprise database platform.

Responsabilités

• Design, deploy, and manage vector databases.
• Monitor database performance, availability, and security.
• Implement and maintain backup and disaster recovery solutions.

Connaissances

Vector databases

SQL query optimization

Database administration

Performance tuning

Formation

Bachelor's degree in Computer Science

Outils

PGVector

Oracle

Microsoft SQL Server

MySQL

PostgreSQL

MongoDB

AWS RDS

Azure SQL Database

Google Cloud SQL

Description du poste

Database Administrator (DBA)

We are looking for an experienced Database Administrator to manage, maintain, and optimize our database systems, ensuring high performance, availability, security, and recoverability. The ideal candidate will have deep technical expertise in database architecture, backup strategies, performance tuning, and disaster recovery.

Key Responsibilities

• Database Administration & Maintenance
  • Design, deploy, and manage vector databases optimized for AI/ML workloads, including support for LLMs, RAG pipelines, and semantic search.
  • Install, configure, and upgrade vector database and traditional database software (e.g., PGVector, Chroma, Pinecone, Oracle, Microsoft SQL Server, MySQL, PostgreSQL, MongoDB).
  • Collaborate with AI, DevOps, and data engineering teams to support model training, inference, and validation.
  • Monitor database performance, availability, and security.
  • Implement and maintain backup, recovery, and disaster recovery solutions.
  • Schedule and automate database maintenance tasks such as index optimization, statistics updates, and cleanup.
• Performance Tuning & Optimization
  • Analyze and optimize SQL queries, indexes, and database configurations.
  • Troubleshoot database bottlenecks and slow‑running queries.
  • Collaborate with developers to optimize database design and queries for application performance.
• Data Security & Compliance
  • Implement security policies, encryption, and access control for database systems.
  • Ensure compliance with data protection regulations (e.g., GDPR, HIPAA, ISO 27001).
  • Audit database activity and maintain security documentation.
• High Availability & Replication
  • Configure and manage database replication, clustering, and failover systems.
  • Support 24x7 availability for mission‑critical databases.
• Monitoring & Reporting
  • Maintain monitoring tools for database performance, growth, and incidents.
  • Generate and present regular reports on database health, capacity planning, and performance trends.
• Collaboration & Support
  • Work with application teams to design scalable, efficient, and secure databases.
  • Provide Level 2/3 support for database‑related incidents and requests.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
• 3–5 years of experience as a DBA in a production environment.
• Hands‑on experience with vector databases such as PGVector, Chroma, Weaviate, Pinecone, Milvus, FAISS, or Qdrant.
• Strong knowledge of at least one enterprise database platform (e.g., Oracle, SQL Server, MySQL, PostgreSQL).
• Familiarity with embedding generation using LLMs and integration with RAG architectures.
• Understanding of GPU‑accelerated indexing and retrieval techniques.
• Proficiency in scripting and automation for data ingestion, transformation, and indexing.
• Knowledge of data lifecycle management and compliance in AI/ML environments.
• Exposure to Data Lakehouse platforms and federated query engines.
• Proficiency in SQL and scripting languages (PowerShell, Bash, Python).
• Experience with database backup/recovery tools and high‑availability architectures.
• Familiarity with cloud databases (AWS RDS, Azure SQL Database, Google Cloud SQL).

Preferred Qualifications

• Certifications such as:
• Oracle Certified Professional (OCP)
• Microsoft Certified: Azure Database Administrator Associate
• AWS Certified Database – Specialty
• MongoDB Certified DBA
• Experience with database automation and DevOps integration.
• Knowledge of big data platforms (e.g., Hadoop, Snowflake, Redshift).

"