Senior Manager Data Platform Engineering

Hiresquad; Pune District, Chennai District; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Hiresquad in India is seeking a Senior Manager Data Engineering to lead teams working on large-scale data platforms and modern cloud-based data ecosystems. Location: Pune/Chennai.

You will drive architecture, strategy, and execution, collaborate with stakeholders across functions, and mentor senior data engineers, building scalable data pipelines and governance across cloud-native environments.

Qualifications

• Strong background in Data Engineering & Data Platforms.
• Proven experience leading & scaling engineering teams.
• Strong understanding of modern cloud & data architectures.
• Ability to drive engineering strategy, architecture & execution.
• Strong stakeholder and cross-functional leadership.
• Technical depth to effectively lead senior data engineers.

Skills

Data Engineering

Team Leadership

Cloud Architecture

Stakeholder Leadership

Strategy & Execution

Data Platform Design

Tools

AWS

Kafka

Airflow

Snowflake

dbt

Python

SQL

Java

Scala

Docker

Kubernetes

Prometheus

Grafana

Datadog

ELK Stack

Jaeger

Oracle

PostgreSQL

SQL Server

Informatica

SSIS

Business Objects

Job description

LEADERSHIP HIRING | Senior Manager Data Engineering

Location: Pune/Chennai

We are hiring for a leading global technology & product organization and looking for an accomplished Senior Manager Data Engineering to lead teams working on large-scale data platforms and modern cloud-based data ecosystems.

What were looking for:

• Strong background in Data Engineering & Data Platforms
• Proven experience leading & scaling engineering teams
• Strong understanding of modern cloud & data architectures
• Ability to drive engineering strategy, architecture & execution
• Strong stakeholder and cross-functional leadership
• Technical depth to effectively lead senior data engineers

Technology Environment

Cloud: AWS EC2, EKS, RDS & cloud-native services

Data: Apache Kafka, Apache Airflow, SQLMesh, Snowflake, dbt

Languages/Platforms: Python, SQL, Java, Scala, Docker, Kubernetes

Observability: Prometheus, Grafana, Datadog, ELK Stack, Jaeger

Additional/Legacy: Apache Spark, Oracle, PostgreSQL, SQL Server, Informatica, SSIS, Business Objects