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Data Engineering Manager

Bangalore, India💼 Full-time🗓 2026-08-14 → 2026-09-28

Core

Lead a distributed data engineering pod to build and maintain high-throughput streaming and batch pipelines for an advertising technology platform.

Role type

Senior IC Data Engineering Manager (distributed systems)

Builds

Data lakehouse, CTV late-impression pipelines, CI/CD automation, and real-time/batch data systems for advertisers and publishers.

Domain

Advertising Technology (AdTech) / Big Data Engineering

Required skills

Data Engineering leadership, Python, SQL, Apache Spark, Apache Flink, Apache Kafka, Google Cloud Platform (BigQuery, GKE, Dataflow), Terraform, CI/CD (ArgoCD), Lakehouse formats (Iceberg/Delta), Dimensional modeling

Preferred skills

AdTech domain expertise (programmatic auctions, RTB), Analytics/OLAP tooling (Druid, Looker)

Technologies

Apache Flink, Apache Spark, Apache Kafka, Google Cloud (BigQuery, GKE, GCS, Dataflow), Terraform, ArgoCD, Docker, Iceberg, Delta

Responsibilities

Supervise local data engineering pod and manage team capacity/hiring; Foster high-performance culture across distributed teams (Bangalore/EU); Plan and execute multi-quarter initiatives (data lakehouse re-architecture, CTV pipelines); Refine engineering processes (code quality, IaC, observability, cost optimization); Partner with Product, Backend, and Data Science teams; Maintain 50-70% hands-on technical implementation (pipeline design, code review, troubleshooting); Manage production responsibilities (monitoring, on-call, incident response).

Seniority

Senior, hands-on IC with leadership

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