Database Developer Lead

8 - 12 years

18 - 20 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Roles & Responsibilities

Lead the design, architecture, and implementation of scalable RDBMS solutions.

Manage and mentor a team of 25 database developers/analysts, providing technical guidance and

code reviews.

Own end-to-end project execution: requirements gathering, design, development, testing, deployment,

and production support.

Collaborate with product managers, architects, and application developers to translate business needs into

efficient database designs.

Drive SQL development (stored procedures, functions, views, triggers, CTEs) with best practices and

standards.

Ensure database performance, scalability, and reliability through indexing, partitioning, and query

optimization.

Implement and oversee database DevOps (CI/CD), version control, and release management processes

Manage data integrity, security, and compliance requirements.

Conduct capacity planning, backup/recovery strategy, and disaster recovery setup.

Provide technical leadership in adopting modern practices such as cloud RDBMS, data orchestration

(Airflow, dbt), and integration with AI/ML pipelines.

Must-Have Skills

Deep understanding of database design principles, normalization/denormalization, and data modeling.

Hands-on experience with large datasets, high-concurrency systems, and production environments.

Solid knowledge of database security, backup, replication, and high availability setups.

Proven experience in performance tuning, query optimization, and indexing strategies.

Ability to manage and process large datasets in production environments.

Expertise in complex Stored Procedures, , Dynamic SQL, Views, Functions, Triggers

Experience in leading a database team, assigning tasks, reviewing deliverables, and ensuring project

timelines.

Good-to-Have Skills

  • Exposure to LLM-driven architecture and GenAI product integration
  • Hands-on with Vector DBs (e.g., Vespa, Qdrant, FAISS) or Graph DBs (e.g., Neo4j)
  • Experience working with LangChain, RAG pipelines, or embedding-based search systems

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