Data Engineer Manager | Hyderabad , Chennai, Pune, Bangalore & Mumbai

Job Description Data Engineering Manager

Role Title

Data Engineering Manager

Experience

812 Years

Location

Mumbai/Pune/Bangalore/Hyderabad/Chennai - Hybrid

Role Overview

We are looking for a Data Engineering Manager to lead and drive execution for data engineering initiatives.

This role combines technical leadership, delivery ownership, and hands-on data engineering expertise.

The ideal candidate will manage a team of data engineers while actively contributing to data platform development, ensuring successful execution of data pipelines, release deliverables, and stakeholder expectations.

This role bridges engineering leadership and hands-on data execution, enabling scalable and reliable data solutions.

Key Responsibilities

• Team Leadership & Delivery Execution
• Lead and manage a team of 8-10 data engineers.
• Drive sprint execution, planning, and delivery tracking aligned with program release cycles.
• Coordinate cross-functional execution across engineering and product stakeholders.
• Remove delivery blockers and ensure timely completion of milestones.
• Provide technical mentorship and guidance to engineers.
• Hands-on Data Engineering
• Contribute directly to development of data pipelines and data workflows (~3050% hands-on).
• Perform data analysis and SQL-based problem solving.
• Design and optimize ETL/ELT pipelines.
• Work with structured and enterprise data sources including SAP systems.
• Support troubleshooting and performance optimization.
• Data Platform & Engineering Ownership
• Oversee development and maintenance of scalable data pipelines.
• Ensure adherence to data engineering best practices and coding standards.
• Maintain data quality, reliability, and operational stability.
• Support data migration and integration initiatives.
• Stakeholder & Program Collaboration
• Act as the technical interface between engineering teams and program stakeholders.
• Translate business requirements into executable technical tasks.
• Support program release planning and execution readiness.
• Communicate progress, risks, and technical decisions effectively.

Required Technical Skills

• Strong expertise in SQL and data analysis
• Experience building and managing ETL pipelines
• Hands-on experience with:
• PySpark
• Postgres SQL or similar RDBMS
• Azure cloud ecosystem (or equivalent cloud platforms)
• Experience working with enterprise data flows (SAP or similar systems)
• Data warehousing and data modeling fundamentals
• Strong debugging and performance optimization skills

Leadership & Functional Skills

• Experience leading or mentoring engineering teams.
• Ability to manage delivery execution in agile environments.
• Strong stakeholder management and communication skills.
• Experience coordinating across distributed teams.

Preferred Qualifications

• Experience leading data transformation or migration initiatives.
• Exposure to Databricks or modern lakehouse architectures.
• Prior experience in enterprise-scale data programs.
• Scrum/agile exposure (certification not mandatory).

Education

Bachelors or Master’s degree in Computer Science, Engineering, or related field.

Role Success Indicators

• Stable and predictable delivery of data initiatives.
• Effective management of data engineering team execution.
• High-quality, scalable data pipelines.
• Strong collaboration between technical and program teams.