Manager,Database

About Affinity Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open new opportunities. We are a global AdTech company helping publishers discover better ways to monetize and enabling advertisers to reach the right audiences through new touchpoints. Operating across the US, Europe and Asia Markets with teams of 575+ experts, we are building privacy-first ad infrastructure that opens up opportunities beyond the walled gardens. Role: Manager Database Work Location: Mumbai (Malad) Work Type: Full Time About Role We are seeking a Database Manager who is not just a manager, but a hands-on technologist and architect. This role demands a leader who loves to code and will actively participate in the entire Software Development Life Cycle (SDLC)—from architecture and design to coding, testing, deployment, combining with strong people and architectural leadership, working closely with Product, Publisher Partnerships, and Commercial teams. We are looking for a seasoned Database Manager to lead the design, management, and optimization of mCanvas’s database infrastructure. This role requires deep expertise across database architecture, performance tuning, reliability, security, and team leadership. Roles & Responsibility Database Management & Architecture

• Architect Scalable Systems: Design, implement, and maintain scalable, high-performance database systems supporting mCanvas’s high-volume AdTech platform.
• Empowering the Data Journey: Lead data modelling, schema design, and database architecture decisions across transactional and analytical workloads
• Lead Innovation: Evaluate and implement new database technologies, cloud platforms, and tools to optimize performance and scalability. Performance, Reliability & Security
• Monitor, analyse, and optimize database performance (query tuning, indexing, caching strategies).
• Ensure high availability, disaster recovery, and backup strategies are in place for critical systems.
• Implement robust database security practices, including access controls, encryption, and compliance standards.
• Own the delivery pipeline. Ensure rigorous coding standards, automated testing, and seamless CI/CD processes are in place and followed.
• Make critical technology choices. Maintain a deep, hands-on understanding of Data Stack, SQL(MySQL, PostgreSQL), Bigdata(Apache Spark, Flink, Clickhouse, AWS RDS/Aurora, BigQuery, BigTable or equivalent), Streaming(Kafka, Amazon Kinesis, RabbitMQ, Google Pub/Sub,) and NoSQL(MongoDB, Redis). Think Data & AI