Director / Associate Director - Data Engineer

The Glove; Hyderabad, Bengaluru; Hybrid; INR 3,500,000 - 7,500,000; Full time

Job summary

The Glove is seeking an Associate Director / Director Data Engineering to lead enterprise-grade data initiatives. You will guide a high-performing team, design scalable data pipelines and modern platforms, and define data architecture aligned with business goals.

Location involves Bangalore/Hyderabad with senior leadership exposure, governance, and cloud-based data solutions delivery. Strong emphasis on collaboration and delivery excellence.

Qualifications

• Proven expertise in Spark-based data processing and cloud data platforms.
• Strong background in data architecture, modeling and warehousing.
• Experience leading engineering teams and delivering scalable solutions.

Responsibilities

• Lead and mentor a high-performing Data Engineering team.
• Design scalable data pipelines and ETL frameworks.
• Define enterprise data architecture and warehousing solutions.
• Collaborate with business and technology stakeholders to align data strategy.
• Ensure data governance, security and scalability across cloud environments.

Skills

Spark

PySpark

Python

Databricks

Snowflake

ETL Development

Azure

AWS Data Engineering

Data Architecture

Data Modeling

Data Warehousing

Big Data Technologies

Leadership

Job description

We're Hiring | Associate Director / Director Data Engineering

Are you an experienced Data Engineering leader passionate about building modern, scalable data platforms? We're looking for an Associate Director / Director – Data Engineering to lead high-impact data initiatives and drive enterprise-scale transformation.

Location: Bangalore / Hyderabad
Experience: 12–17 Years

What We’re Looking For

• Spark, PySpark, Python, Databricks, Snowflake, and ETL Development
• Azure or AWS Data Engineering and cloud-based data platforms
• Data Architecture, Data Modeling, Data Warehousing, and Big Data Technologies
• Proven leadership in managing engineering teams, stakeholder engagement, and solution delivery

Key Responsibilities

• Lead and mentor a high-performing Data Engineering team, driving innovation and technical excellence.
• Design and implement scalable data pipelines, ETL frameworks, and modern data platforms.
• Define and evolve enterprise data architecture and data warehousing solutions.
• Partner with business and technology stakeholders to align data strategy with organizational goals.
• Ensure optimal data performance, governance, security, and scalability across cloud environments.

If you're ready to lead enterprise data transformation and build world‑class data solutions, we'd love to connect!