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Vector Database Admin

0 years

0 Lacs

india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

database backup restore strategies data support indexing retrieval storage query engineering design security encryption audit compliance governance automation automate ai openai vertex developer github resolve nosql python scripting aws gcp azure tuning communication collaboration

Work Mode

On-site

Job Type

Contractual

Job Description

Key Responsibilities:

  • Database Administration:

  • Manage and maintain Astra DB Serverless (Vector) environments in production.
  • Monitor database health, performance, and availability using built-in tools and custom alerts.
  • Implement backup, restore, and cloning strategies for disaster recovery and operational continuity.

  • Data Operations:

  • Support ingestion and indexing of vector data for Retrieval Augmented Generation (RAG) applications.
  • Optimize storage and query performance using Storage Attached Indexing and vector search capabilities.
  • Collaborate with data engineering teams to design and maintain schemas and collections.

  • Security & Compliance:

  • Ensure database security through role-based access control, encryption, and audit logging.
  • Maintain compliance with internal and external data governance policies.

  • Automation & Integration:

  • Automate operational tasks using Astra APIs and CI/CD pipelines.
  • Integrate Astra DB with AI platforms (e.g., OpenAI, Vertex AI) and developer tools (e.g., GitHub, Vercel).

  • Support & Troubleshooting:

  • Provide production support, including incident response and root cause analysis.
  • Collaborate with DataStax support and internal stakeholders to resolve issues.

Qualifications:

  • Proven experience as a DBA in production environments, preferably with NoSQL or distributed databases.
  • Hands-on experience with

    DataStax Astra DB

    , especially vector database features.
  • Familiarity with GenAI use cases, semantic search, and vector embeddings.
  • Proficiency in Python or similar scripting languages for automation and data operations.
  • Experience with cloud platforms (AWS, GCP, Azure) and multi-region deployments.
  • Strong understanding of database security, performance tuning, and monitoring.
  • Excellent communication and collaboration skills.

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