Director Technology

<div><br></div><div><strong>About Affinity</strong></div><div>Affinity is pioneering new frontiers in AdTech by building privacy-first advertising infrastructure that helps publishers maximize monetization and enables advertisers to reach the right audiences beyond walled gardens. Operating across 10+markets in Asia, the US, and Europe, with a team of 575+ professionals, Affinity continues to innovate at scale in the global AdTech ecosystem.</div><div><br></div><div><strong>Role:</strong> Director – Technology (Data & Platforms)</div><div><br></div><div><strong>Location:</strong> Mumbai (Malad)</div><div><br></div><div><strong>Role

Overview:

</strong></div><p style="margin-bottom:0in;line-height:normal;background:white;">We are looking for a <strong>Director - Technology</strong> to lead the architecture, development, and scaling of our backend platforms, comprehensive data ecosystem, and AI integration. This role will oversee a polyglot database environment (SQL, NoSQL, and Big Data) and drive the adoption of AI/ML technologies to enhance our AdTech infrastructure.</p><div><br></div><div><strong>Key

Responsibilities:

</strong></div><div><br></div><div><strong>Data & Database Leadership</strong></div><div>

• <strong>Polyglot Persistence</strong>: Lead the strategy for a diverse database landscape, ensuring the right tool for the job</div><div>across MySQL (Relational), Hadoop (Big Data), MongoDB (NoSQL), and cloud-native solutions like Snowflake or BigQuery.</div><div>
• <strong>Data Lifecycle Management:</strong> Own the end-to-end data journey—from high-velocity ingestion via Kafka to long- term storage in data lakes and real-time retrieval for backend services.</div><div><br></div><div><strong>AI & Innovation</strong></div><div>
• <strong>AI Roadmap:</strong> Define and execute the strategy for integrating Modern <strong>AI/ML</strong> (e.g., LLMs, Predictive Modelling) into backend services to optimize ad targeting and platform efficiency.</div><div>
• <strong>Vector Databases</strong>: Evaluate and implement vector databases (e.g., Pinecone, Milvus, or Weaviate) to support AI- driven search and recommendation engines.</div><div><br></div><div><strong>Leadership & Team Management</strong></div><div>• Lead, mentor, and scale backend and data engineering teams.</div><div>• Drive engineering best practices, coding standards, and architectural reviews.</div><div>
• Partner with Product, Data, and Business teams to translate requirements into scalable technical solutions.</div><div>• Play a key role in hiring senior engineers and technical leaders.</div><div><br></div><div><strong>Platform & Cloud Operations</strong></div><div>• Drive cloud-first architecture and cost-efficient infrastructure design.</div><div>• Ensure high availability, fault tolerance, and disaster recovery across backend services.</div><div>• Oversee CI/CD pipelines, monitoring, and observability for backend systems.</div><div><br></div><div><strong>Strategic Contribution</strong></div><div>• Contribute to long-term technology roadmap and platform evolution.</div><div>• Evaluate and introduce new backend and data technologies aligned with business growth.</div><div>
• Act as a senior technical voice in leadership discussions and decision-making.<br><br><strong>Required

Skills:

</strong></div><div>

• <strong>12–15+ years of software engineering experience</strong></div><div>• <strong>5+ years in </strong>Engineering Manager / Senior Manager / Director<strong> roles</strong></div><div>
• Deep experience with <strong>MySQL</strong> / <strong>PostgreSQL</strong> / <strong>MongoDB</strong> or other <strong>NoSQL</strong> technologies</div><div>
• Hands-on experience managing and scaling <strong>Hadoop clusters</strong> and distributed processing         frameworks <strong>(Spark/Flink).</strong></div><div>
• Proficiency in <strong>AWS</strong> (RDS, Aurora, DynamoDB, Redshift), <strong>GCP</strong> (Cloud SQL, Spanner, Bigtable, BigQuery)</div><div>• Hands-on experience with <strong>Kafka</strong> (producers, consumers, streams, scaling).</div><div>• Proficiency in Python and shell scripting for automation, backend logic, and data manipulation.</div><div>
• Experience in implementing Modern AI technologies, including Natural Language Processing (NLP), Generative AI frameworks, or predictive analytics.</div><div>
• Ability to use data visualization tools (e.g., <strong>Tableau, Looker</strong>, Metabase, Apache Superset etc )</div>