Chief Database Strategist

2 days ago

Thiruvananthapuram, Kerala, India beBeeData Full time ₹ 12,00,000 - ₹ 18,00,000

We are seeking a skilled Data Architect with expertise in database design, optimization, and management.

The ideal candidate will be skilled in architecting scalable, secure, high-performance databases ensuring data integrity supporting AI-driven applications.

You will collaborate closely with our AI Engineering teams to optimize storage retrieval and analytics pipelines.

Key Responsibilities:

  • Design develop and maintain scalable database architectures (SQL & NoSQL).
  • Optimize database queries indexing and performance tuning.
  • Ensure data security compliance backup and disaster recovery.
  • Build and maintain ETL pipelines to support AI ML and analytics workflows.
  • Collaborate with AI engineers on vector databases and RAG pipelines.
  • Integrate databases with APIs CRMs and external systems.
  • Monitor database health troubleshoot issues and improve reliability.

Required Skills & Experience:

  • Strong proficiency with SQL databases (PostgreSQL MySQL MSSQL etc.).
  • Experience with NoSQL databases (MongoDB Cassandra DynamoDB etc.).
  • Knowledge of vector databases (Pinecone Weaviate Chroma FAISS) is a plus.
  • Expertise in database optimization indexing and partitioning.
  • Solid understanding of ETL processes data pipelines and data modeling.
  • Experience with cloud database services (AWS RDS GCP Cloud SQL Azure SQL).
  • Familiarity with backup replication and high availability strategies.
  • Strong Python SQL scripting skills for automation.

Nice-to-Have:

  • Experience with data warehouses (Snowflake BigQuery Redshift).
  • Knowledge of streaming data systems (Kafka Spark).
  • Hands-on experience with AI ML data pipelines.
  • Exposure to DevOps for databases (Terraform Kubernetes CI CD for DB).
  • Prior work with enterprise-scale databases handling high-volume data.

What We Offer:

  • Competitive salary performance-based incentives.
  • Opportunity to work on cutting-edge AI-driven data ecosystems.
  • Collaborative environment with AI and Data Engineering teams.
  • Flexibility in remote work and project ownership.

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