Job Summary

We are seeking a Senior Database Engineer to design, scale, and operate mission-critical data platforms supporting Lucid’s enterprise and consumer applications. You will be responsible for data reliability, performance, security, and scalability while partnering closely with backend, platform, analytics, and US-based engineering teams. This role requires strong ownership of database architecture and operational excellence in high-scale, cloud-native environments.

Your work profile:

- Own end-to-end database design, development, performance tuning, deployment, and

operational support

- Design scalable data models for transactional, analytical, and hybrid workloads

- Proactively identify performance bottlenecks, analyze query behavior, and implement

optimizations

- Define backup, recovery, disaster recovery, and high-availability strategies

- Ensure data integrity, consistency, and security across systems

- Embed reliability engineering practices (SLIs, SLOs, monitoring, alerting) into data platforms

- Drive database standards, best practices, and design reviews across teams

- Collaborate with backend, infrastructure, and data engineering teams on system design

- Leverage automation and Infrastructure-as-Code for database provisioning and maintenance





- Use GenAI-assisted workflows to analyze schemas, queries, and operational patterns

- Mentor junior engineers and act as a technical leader for database-related initiatives

- Collaborate effectively with US teams across time zones

Key skills required:

Basic Qualifications

- Bachelor’s degree (or equivalent work experience) with 8–10 years of relevant experience

- Master’s degree (or equivalent work experience) with 7–8 years of relevant experience

Preferred Skills / Experience

- Deep expertise in PostgreSQL, MySQL, Oracle, or SQL Server

- Robust experience with NoSQL databases (DynamoDB, MongoDB, Cassandra, etc.)

- Hands-on experience with AWS-managed databases (RDS, Aurora, DynamoDB, Redshift)

- Proven experience with performance tuning, indexing strategies, query optimization

- Experience designing high-availability, multi-region, and disaster recovery solutions

- Knowledge of data security, encryption, and compliance requirements

- Familiarity with Kubernetes, Docker, and cloud-native architectures

- Experience supporting microservices and event-driven systems

- Strong understanding of transactional vs analytical workloads

- Experience with DevOps practices, CI/CD, and automation pipelines

Comments

📌 Lead Associate | Data Engineering | Hyderabad | Engineering as a Service/ Operate
🏢 Deloitte
📍 Hyderabad