Director Technology

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.

Role: Director - Technology (Data & Platforms)

Location: Mumbai (Malad)

Polyglot Persistence: Lead the strategy for a diverse database landscape, ensuring the right tool for the job

across MySQL (Relational), Hadoop (Big Data), MongoDB (NoSQL), and cloud-native solutions like Snowflake or BigQuery.

Data Lifecycle Management: 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.

AI Roadmap: Define and execute the strategy for integrating Modern AI/ML (e.g., LLMs, Predictive Modelling) into backend services to optimize ad targeting and platform efficiency.

Vector Databases: Evaluate and implement vector databases (e.g., Pinecone, Milvus, or Weaviate) to support AI- driven search and recommendation engines.

Lead, mentor, and scale backend and data engineering teams.

Drive engineering best practices, coding standards, and architectural reviews.

Partner with Product, Data, and Business teams to translate requirements into scalable technical solutions.

Play a key role in hiring senior engineers and technical leaders.

Drive cloud-first architecture and cost-efficient infrastructure design.

Ensure high availability, fault tolerance, and disaster recovery across backend services.

Oversee CI/CD pipelines, monitoring, and observability for backend systems.

Contribute to long-term technology roadmap and platform evolution.

Evaluate and introduce new backend and data technologies aligned with business growth.

Act as a senior technical voice in leadership discussions and decision-making.

Required Skills:

12-15+ years of software engineering experience

5+ years in Engineering Manager / Senior Manager / Director roles

Deep experience with MySQL / PostgreSQL / MongoDB or other NoSQL technologies

Hands-on experience managing and scaling Hadoop clusters and distributed processing frameworks (Spark/Flink).

Proficiency in AWS (RDS, Aurora, DynamoDB, Redshift), GCP (Cloud SQL, Spanner, Bigtable, BigQuery)

Hands-on experience with Kafka (producers, consumers, streams, scaling).

Proficiency in Python and shell scripting for automation, backend logic, and data manipulation.

Experience in implementing Modern AI technologies, including Natural Language Processing (NLP), Generative AI frameworks, or predictive analytics.

Ability to use data visualization tools (e.g., Tableau, Looker, Metabase, Apache Superset etc )