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
Spearhead the integration of AI/ML to automate analytics and data visualization.
Oversee the data pipeline ensuring GDPR/CCPA compliance and privacy-first targeting
methodologies.
Think Collaboration
Work closely with the Product, Sales, Operations teams to translate business requirements
into technical specifications, define database requirements and support data-driven initiatives
Act as the technical point of contact for database-related issues and projects.
Think Leadership
With Hands-on programming and daily commits, Lead By Example.
Provide guidance on database best practices to engineering teams.
Hire, mentor, and retain top engineering talent. Foster a "builder" culture where every engineer,
including yourself, is close to the code.
Manage the technology budget, optimize cloud costs, and ensure 99.9% system uptime.
Required Skills
Experience
8-10+ years of total database management experience, with at least 3+ years in a technical
leadership role (Engineering Manager+).
AdTech Domain: Deep understanding of the AdTech ecosystem is mandatory (DSP, SSP,
DMP, RTB OpenRTB protocols, VAST/VPAID, Header Bidding).
Technical Expertise
Expert in Database administration: 8–10+ years of hands-on experience in database
management, architecture, and administration.
Expert Programmer: Strong expertise in SQL(MySQL/PostgreSQL) databases; experience with
performance tuning, indexing, query optimization, and data modeling. You must be able to
pass a live coding interview.
High-Scale Systems: Experience designing low-latency, high-throughput distributed systems
(handling QPS in the thousands/millions).
Cloud Data infrastructure: Deep knowledge of AWS/GCP, Bigdata(Apache Spark, Flink,
Clickhouse, AWS RDS/Aurora, BigQuery, BigTable or equivalent), Streaming(kafka, Amazon
Kinesis, RabbitMQ, Google Pub/Sub,) and NoSQL(MongoDB, Redis).
AI/ML Exposure: Hands-on experience or strong familiarity with integrating AI models
(TensorFlow, PyTorch, or OpenAI APIs) into software products, production workflows.
AI for SDLC: Hands-on experience with vibe coding/spec-driven coding and high proficiency in
utilizing AI tools to optimize the development lifecycle.
Leadership & Soft Skills
Player-Coach Mindset: Willingness to roll up sleeves and debug a production issue at 2 AM if
needed.
Strategic Vision: Ability to define a long-term tech vision while executing short-term sprints.
Communication: Excellent ability to explain complex technical concepts to non-technical
stakeholders (CEO, Sales, Clients).
Education
B.Tech / M.Tech / B.E / M.E from a premium institute (IITs, NITs, IIITs, or other reputed
engineering institutes preferred)
What We’re Looking For
Strong problem-solving and system-thinking skills
Ability to balance hands-on coding with people and stakeholder management
High ownership, accountability, and bias for action
Excellent communication and collaboration skills
