Manager,Database

About Affinity

Role and Work Type

Database Management and Architecture

• Design, implement, and maintain scalable, high-performance database systems.
• Lead data modeling, schema design, and database architecture across transactional and analytical workloads.
• Evaluate and implement database technologies, cloud platforms, and tools for performance and scalability.

Performance, Reliability, and Security

• Monitor and optimize database performance through query tuning, indexing, and caching.
• Ensure high availability, disaster recovery, and backup strategies for critical systems.
• Implement access controls, encryption, and compliance standards.
• Maintain coding standards, automated testing, and CI/CD processes.

Data, AI, and Collaboration

• Integrate AI/ML into analytics and data visualization.
• Oversee data pipelines for GDPR and CCPA compliance and privacy-first targeting.
• Translate business requirements into technical specifications with Product, Sales, Operations, and other teams.
• Act as the technical point of contact for database-related issues and projects.

Leadership

• Lead by example through hands-on programming and daily commits.
• Provide database best-practice guidance to engineering teams.
• Hire, mentor, and retain engineering talent.
• Manage technology budgets, optimize cloud costs, and ensure 99.9% system uptime.

Required Experience

• 8–10+ years of total database management experience and at least 3 years in technical leadership.
• Deep AdTech knowledge covering DSP, SSP, DMP, RTB/OpenRTB, VAST/VPAID, and header bidding.
• Expertise in database administration, architecture, SQL, performance tuning, indexing, query optimization, and data modeling.
• Experience with low-latency, high-throughput distributed systems.
• Deep knowledge of AWS or GCP, big data, streaming, and NoSQL technologies.
• Experience or familiarity integrating AI models into software products and production workflows.
• Ability to balance hands-on coding with people management, strategic planning, and stakeholder communication.
• B.Tech, M.Tech, B.E., or M.E. in engineering; a premium or reputed institute is preferred.

Technology Environment

• SQL technologies include MySQL and PostgreSQL.
• Data technologies include Apache Spark, Flink, ClickHouse, AWS RDS/Aurora, BigQuery, and Bigtable or equivalents.
• Streaming technologies include Kafka, Amazon Kinesis, RabbitMQ, and Google Pub/Sub.
• NoSQL technologies include MongoDB and Redis.
• AI/ML technologies include TensorFlow, PyTorch, and OpenAI APIs.